Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T00:28:45.260361Z
Paper Citation Record · LEDGER
Rethinking Atrous Convolution for Semantic Image Segmentation
As of 21 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 100 inbound Pith citation observations for arXiv:1706.05587.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:18.083924Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
97 of 97 outbound references displayed
- verified exact36
- verified fuzzy39
- unresolved22
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
7453
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 0c27cc73-4321-4f07-bf88-0edb603b0045 · outbound
This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
Rethinking Atrous Convolution for Semantic Image Segmentation TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.778006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 03c6523c-52cd-4513-8ddb-69a1df075e4a · outbound
This paper cites Adams, J.
Rethinking Atrous Convolution for Semantic Image Segmentation Adams, J
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5bb113d4-c459-4e60-b8fd-37461c7ca200 · outbound
This paper cites SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.560346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 925ab8cd-d1bd-44d4-ad78-09c4799b8a5e · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation ca58d62d-7ef9-4cf6-baf1-0ea8f6f03709 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 5
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fc505e11-5a61-489a-ba07-8969bda957dd · outbound
This paper cites Byeon, T.
Rethinking Atrous Convolution for Semantic Image Segmentation Byeon, T
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b23f8de2-1d98-493e-8b47-4818b3a2c49a · outbound
This paper cites COCO-Stuff: Thing and Stuff Classes in Context.
Rethinking Atrous Convolution for Semantic Image Segmentation COCO-Stuff: Thing and Stuff Classes in Context
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.593982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c032a9b7-7f0f-4fcb-adbe-9fff44c2430e · outbound
This paper cites Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs.
Rethinking Atrous Convolution for Semantic Image Segmentation Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:36:09.400284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d6021d0e-6558-45a2-ad8e-e87d207e69c9 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 55067327-1ff4-4939-be31-5dd591016326 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 10
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Source-reported events for the cited work
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Observation d9f26f9f-edd0-4f45-8291-ac7465c4e283 · outbound
This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
Rethinking Atrous Convolution for Semantic Image Segmentation DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.665351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d0f0d0cb-d818-4ffe-904a-f653da77effa · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bba828b4-1c19-4a5b-85f2-e5e1eb96f66d · outbound
This paper cites Xception: Deep Learning with Depthwise Separable Convolutions.
Rethinking Atrous Convolution for Semantic Image Segmentation Xception: Deep Learning with Depthwise Separable Convolutions
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.688350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6092f4ec-3fad-4f0c-976b-ab9fd1a60ccd · outbound
This paper cites Cordts, M.
Rethinking Atrous Convolution for Semantic Image Segmentation Cordts, M
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b92dc056-ff7a-48fc-bbc7-f6586bc5be0d · outbound
This paper cites Convolutional Feature Masking for Joint Object and Stuff Segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation Convolutional Feature Masking for Joint Object and Stuff Segmentation
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:34:09.986680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3c13c9a3-754e-4e87-b27c-445266145b30 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 76b88e54-a647-4971-a863-5665e15810dc · outbound
This paper cites R-FCN: Object Detection via Region-based Fully Convolutional Networks.
Rethinking Atrous Convolution for Semantic Image Segmentation R-FCN: Object Detection via Region-based Fully Convolutional Networks
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.721530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dc1cbe37-889f-4a63-adbc-e0416f93c588 · outbound
This paper cites Deformable Convolutional Networks.
Rethinking Atrous Convolution for Semantic Image Segmentation Deformable Convolutional Networks
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.737343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 82d42179-9ca2-4731-9076-0afc0031f8e4 · outbound
This paper cites Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture.
Rethinking Atrous Convolution for Semantic Image Segmentation Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:43:56.999386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3dcfd20e-31ce-43f7-870c-424c92afb60e · outbound
This paper cites Everingham, S.
Rethinking Atrous Convolution for Semantic Image Segmentation Everingham, S
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 7b06ed69-eed5-41f5-bfd8-e2e5345080c6 · outbound
This paper cites Multi-level Contextual RNNs with Attention Model for Scene Labeling.
Rethinking Atrous Convolution for Semantic Image Segmentation Multi-level Contextual RNNs with Attention Model for Scene Labeling
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:13:29.083990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3fb458f0-27d1-4378-9251-483a3e46a886 · outbound
This paper cites Farabet, C.
Rethinking Atrous Convolution for Semantic Image Segmentation Farabet, C
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f0e42135-f1bc-46ad-8ddc-ae3e3095fa8b · outbound
This paper cites Stacked Deconvolutional Network for Semantic Segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation Stacked Deconvolutional Network for Semantic Segmentation
Reference 23
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 64c9516e-1709-4a06-a30d-1e5942ad56f9 · outbound
This paper cites Gadde, V.
Rethinking Atrous Convolution for Semantic Image Segmentation Gadde, V
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5f09fec2-75f7-4fc6-8c3d-b67f8d0cb31d · outbound
This paper cites Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
Reference 25
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 91fb2375-6869-4588-90f4-281dd360782e · outbound
This paper cites Giusti, D.
Rethinking Atrous Convolution for Semantic Image Segmentation Giusti, D
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a034daf7-a67b-4d0d-b30d-4403ae578523 · outbound
This paper cites Gould, R.
Rethinking Atrous Convolution for Semantic Image Segmentation Gould, R
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9934866a-d3f3-4c89-8efc-fb2a7451d36e · outbound
This paper cites Grauman and T.
Rethinking Atrous Convolution for Semantic Image Segmentation Grauman and T
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 276f105c-6866-4afb-99c9-73cc506567ed · outbound
This paper cites Hariharan, P.
Rethinking Atrous Convolution for Semantic Image Segmentation Hariharan, P
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1a82cc33-853a-4c4d-a1d6-77722af65d1b · outbound
This paper cites Hariharan, P.
Rethinking Atrous Convolution for Semantic Image Segmentation Hariharan, P
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation f41fe7e5-f583-40d1-a31f-8b0651cbb556 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 31
- Resolution
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Observation d0a50e2a-d6eb-4d8d-bd22-866286ebffce · outbound
This paper cites Deep Residual Learning for Image Recognition.
Rethinking Atrous Convolution for Semantic Image Segmentation Deep Residual Learning for Image Recognition
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0a48bd4-2037-4d56-b2a4-4cca361e8b51 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 33
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2d9d1063-0ef4-4799-b955-cfad362c056f · outbound
This paper cites Hinton, O.
Rethinking Atrous Convolution for Semantic Image Segmentation Hinton, O
Reference 34
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 54c41265-a0e3-4fd8-b491-60f891b8da29 · outbound
This paper cites Hochreiter and J.
Rethinking Atrous Convolution for Semantic Image Segmentation Hochreiter and J
Reference 35
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- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 343711cd-51cf-436d-aca5-0052a8e1d1a2 · outbound
This paper cites Holschneider, R.
Rethinking Atrous Convolution for Semantic Image Segmentation Holschneider, R
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 666c3c60-a036-4512-b207-58a7d8e3df29 · outbound
This paper cites Huang, V.
Rethinking Atrous Convolution for Semantic Image Segmentation Huang, V
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 89c5161a-aed7-4ae4-84fa-6aa36d2f6ecc · outbound
This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.
Rethinking Atrous Convolution for Semantic Image Segmentation Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Reference 38
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- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8db4006e-7c24-4b0e-9807-8d0166196854 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 39
- Resolution
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Source-reported events for the cited work
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Observation a66f658f-c46f-4c83-9c2b-606dfb4ca792 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation df9f8faa-7294-4c1a-929c-f52c52baee07 · outbound
This paper cites Jampani, M.
Rethinking Atrous Convolution for Semantic Image Segmentation Jampani, M
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 16c5b3c6-d437-4aa5-a022-d12ea6032fe6 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7f5ad80a-f872-4b40-a7e2-5edc499fa7cd · outbound
This paper cites Kohli, P.
Rethinking Atrous Convolution for Semantic Image Segmentation Kohli, P
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1fb0b44f-6617-4f3e-9c15-dfa67df75185 · outbound
This paper cites Recurrent Scene Parsing with Perspective Understanding in the Loop.
Rethinking Atrous Convolution for Semantic Image Segmentation Recurrent Scene Parsing with Perspective Understanding in the Loop
Reference 44
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 18a4eaaa-d2e9-4fad-a0bf-e2004911d5fb · outbound
This paper cites Kr¨ahenb¨uhl and V.
Rethinking Atrous Convolution for Semantic Image Segmentation Kr¨ahenb¨uhl and V
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.000612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 30520c84-15af-4a76-a695-3f3ea1f96120 · outbound
This paper cites Kreˇso, S.
Rethinking Atrous Convolution for Semantic Image Segmentation Kreˇso, S
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.004829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0290228d-7532-4cab-9bb0-27461af1776a · outbound
This paper cites Krizhevsky, I.
Rethinking Atrous Convolution for Semantic Image Segmentation Krizhevsky, I
Reference 47
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f32e1457-99af-4ce2-b015-4418097939cf · outbound
This paper cites Ladicky, C.
Rethinking Atrous Convolution for Semantic Image Segmentation Ladicky, C
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.016256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ad8e6c70-cc77-4654-9eca-01bec25af49b · outbound
This paper cites Lazebnik, C.
Rethinking Atrous Convolution for Semantic Image Segmentation Lazebnik, C
Reference 49
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9a25c625-3e3c-4e35-a62e-fce6bc61cc7f · outbound
This paper cites LeCun, B.
Rethinking Atrous Convolution for Semantic Image Segmentation LeCun, B
Reference 50
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5a2a6895-99ff-4379-a3df-e8faf0d4d83e · outbound
This paper cites FoveaNet: Perspective-aware Urban Scene Parsing.
Rethinking Atrous Convolution for Semantic Image Segmentation FoveaNet: Perspective-aware Urban Scene Parsing
Reference 51
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- verified exact
- arxiv_id, observed 2026-07-04T22:07:13.979681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0cadda25-99b3-40dc-bbdd-dd2a3d4587ea · outbound
This paper cites Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade.
Rethinking Atrous Convolution for Semantic Image Segmentation Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
Reference 52
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- arxiv_id, observed 2026-07-04T21:52:24.729070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cc344e1e-f650-4679-a1b9-0a68bea65de8 · outbound
This paper cites Semantic Object Parsing with Local-Global Long Short-Term Memory.
Rethinking Atrous Convolution for Semantic Image Segmentation Semantic Object Parsing with Local-Global Long Short-Term Memory
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:40:41.023205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 701be71b-4631-4bca-876b-667e582777c1 · outbound
This paper cites RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.840581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 501204f8-e4b5-4627-bd2a-cd03bc48121d · outbound
This paper cites Efficient piecewise training of deep structured models for semantic segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation Efficient piecewise training of deep structured models for semantic segmentation
Reference 55
- Resolution
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- arxiv_id, observed 2026-07-04T21:03:29.945142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4cfd0a94-7902-402d-9eba-f5fe94269673 · outbound
This paper cites Feature Pyramid Networks for Object Detection.
Rethinking Atrous Convolution for Semantic Image Segmentation Feature Pyramid Networks for Object Detection
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.862032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d2d416ef-f12b-4cbd-80a7-82eca7cf9b10 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T00:28:46.059812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ac219775-dcf5-4a10-9e8e-05ac5e7960ce · outbound
This paper cites ParseNet: Looking Wider to See Better.
Rethinking Atrous Convolution for Semantic Image Segmentation ParseNet: Looking Wider to See Better
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.867690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 17dd6edb-bab3-413e-9106-d2fc5a056b1a · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T00:28:46.067048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9e523e84-9e81-4405-9af5-472dd2ea79fb · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 60
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 126d7823-8b6a-475a-b799-1e500804c95f · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 61
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 82f5aa5a-01d6-4993-afa9-28ee4e283d85 · outbound
This paper cites Mostajabi, P.
Rethinking Atrous Convolution for Semantic Image Segmentation Mostajabi, P
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.078988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f93cdbe7-0619-473c-8bf1-4c3189389498 · outbound
This paper cites Mottaghi, X.
Rethinking Atrous Convolution for Semantic Image Segmentation Mottaghi, X
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.087050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5daf46c8-c1b3-4094-a14d-950363ce5ca4 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T00:28:46.109010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bbca0b27-8b33-4eaa-9ad3-ec2b31b66288 · outbound
This paper cites Papandreou, L.-C.
Rethinking Atrous Convolution for Semantic Image Segmentation Papandreou, L.-C
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.113982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 931cfb24-2eed-44cb-81a9-28dc632e62c0 · outbound
This paper cites Papandreou, I.
Rethinking Atrous Convolution for Semantic Image Segmentation Papandreou, I
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.130447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 985ece6a-0fa9-4e51-a845-318cb1cd73b2 · outbound
This paper cites Papandreou and P.
Rethinking Atrous Convolution for Semantic Image Segmentation Papandreou and P
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.142762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cb9769d2-b617-4263-b33e-e817cf3e2c91 · outbound
This paper cites Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network.
Rethinking Atrous Convolution for Semantic Image Segmentation Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.876737Z
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5dd3e33a-459c-4e40-858d-bd19be902911 · outbound
This paper cites Pinheiro and R.
Rethinking Atrous Convolution for Semantic Image Segmentation Pinheiro and R
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.167271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 70372c6f-fcc4-446e-9122-0857ff929155 · outbound
This paper cites Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes.
Rethinking Atrous Convolution for Semantic Image Segmentation Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:37:21.464809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 94313454-a3fb-4dd6-87ae-c123a41e610c · outbound
This paper cites Ronneberger, P.
Rethinking Atrous Convolution for Semantic Image Segmentation Ronneberger, P
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.178827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7853de95-511d-441a-a939-7b87a8f5faf1 · outbound
This paper cites Russakovsky, J.
Rethinking Atrous Convolution for Semantic Image Segmentation Russakovsky, J
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.193186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e1286981-f517-46db-ac88-3b56a9201c52 · outbound
This paper cites Fully Connected Deep Structured Networks.
Rethinking Atrous Convolution for Semantic Image Segmentation Fully Connected Deep Structured Networks
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.888639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 446b1bea-473e-4dd3-a6d0-586e99e81918 · outbound
This paper cites OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks.
Rethinking Atrous Convolution for Semantic Image Segmentation OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.896162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation be3d00b2-f12e-4d08-bb5d-fc96f04a7fdc · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 75
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T00:28:46.270838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 77bd79bd-f65a-40c6-891d-0caa55fe89cf · outbound
This paper cites Shotton, J.
Rethinking Atrous Convolution for Semantic Image Segmentation Shotton, J
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:45.965301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 44301574-1587-4a72-9a18-a268205d7f5b · outbound
This paper cites Beyond Skip Connections: Top-Down Modulation for Object Detection.
Rethinking Atrous Convolution for Semantic Image Segmentation Beyond Skip Connections: Top-Down Modulation for Object Detection
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.901638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1a3eb065-c3df-46ae-b7e5-85cc27df88ce · outbound
This paper cites Simonyan and A.
Rethinking Atrous Convolution for Semantic Image Segmentation Simonyan and A
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.033309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a6999c98-3dd0-45ce-bf24-15fdf25dab5c · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 79
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T00:28:46.037292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d5d68b14-e6ff-4c22-a16b-414a8d1597fb · outbound
This paper cites Mixed context networks for semantic segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation Mixed context networks for semantic segmentation
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:28:59.214274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c70b0b90-572e-4208-bc28-96ff11a38922 · outbound
This paper cites Terzopoulos.
Rethinking Atrous Convolution for Semantic Image Segmentation Terzopoulos
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.047610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9e252b47-5e07-4d4d-b0d2-342a004f6b72 · outbound
This paper cites Vemulapalli, O.
Rethinking Atrous Convolution for Semantic Image Segmentation Vemulapalli, O
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.051744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ea570738-b4d1-4ef1-a491-52039f3189d8 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 83
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T00:28:46.055542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d29d2372-6bc6-4d32-9071-7ec6f9290d44 · outbound
This paper cites Understanding Convolution for Semantic Segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation Understanding Convolution for Semantic Segmentation
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.917908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 552f856c-85c4-4d6b-942f-33e1e0bfe406 · outbound
This paper cites Bridging Category-level and Instance-level Semantic Image Segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation Bridging Category-level and Instance-level Semantic Image Segmentation
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.925269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 85c4cf4a-350f-4f97-a667-f86d049bc41f · outbound
This paper cites Wider or Deeper: Revisiting the ResNet Model for Visual Recognition.
Rethinking Atrous Convolution for Semantic Image Segmentation Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.930531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ef31d651-24bc-4b41-86e3-0e63c2100e37 · outbound
This paper cites Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net.
Rethinking Atrous Convolution for Semantic Image Segmentation Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:55:49.456972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e1a9a8a7-cd64-401f-8f6b-4701820cd37e · outbound
This paper cites Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.
Rethinking Atrous Convolution for Semantic Image Segmentation Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:53:41.283200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 470f998d-41c0-433e-9cfe-79b707238f46 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T00:28:45.996062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7d6321a1-17ba-4354-8e6d-69d80c6bf526 · outbound
This paper cites Yu and V.
Rethinking Atrous Convolution for Semantic Image Segmentation Yu and V
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.041377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0787dc5-ef46-464e-87d4-b1fa03dd02d2 · outbound
This paper cites Wide Residual Networks.
Rethinking Atrous Convolution for Semantic Image Segmentation Wide Residual Networks
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:25:01.652283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7668cd49-87af-4a8d-aaf2-fe422107ed5a · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 92
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T00:28:46.155741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0da8d221-7e44-4a30-b075-6c0a78e5614b · outbound
This paper cites Zhang, S.
Rethinking Atrous Convolution for Semantic Image Segmentation Zhang, S
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.172395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2604cdb5-54af-4887-94dd-deb2f13e47ed · outbound
This paper cites Zhang, S.
Rethinking Atrous Convolution for Semantic Image Segmentation Zhang, S
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.213504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a3084257-416f-456f-b35a-463b478f487f · outbound
This paper cites Pyramid Scene Parsing Network.
Rethinking Atrous Convolution for Semantic Image Segmentation Pyramid Scene Parsing Network
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:28:45.953587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 71814263-eb64-49f9-832c-e51e18f5c276 · outbound
This paper cites Zheng, S.
Rethinking Atrous Convolution for Semantic Image Segmentation Zheng, S
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T00:28:46.063690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 838ea3bc-adef-4ba3-99b7-be6f6f748958 · outbound
This paper cites an unresolved cited work.
Rethinking Atrous Convolution for Semantic Image Segmentation Unresolved cited work
Reference 97
- Resolution
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- raw_fallback, observed 2026-05-12T00:28:46.226456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
Observation ecec3d24-43a0-4452-84b8-285e250a051a · inbound
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation cites this paper.
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 23
- Resolution
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- local_arxiv, observed 2026-05-25T17:51:05.956625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cb31ab4d-d15f-4e89-851f-aaa13674b6bd · inbound
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation cites this paper.
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a9c1d299-b7d8-47d7-9e0f-82758c66b44f · inbound
Deep Saliency Models : The Quest For The Loss Function cites this paper.
Deep Saliency Models : The Quest For The Loss Function Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 41
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dfae0a20-d654-46e5-9106-4ac1308255ff · inbound
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation cites this paper.
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T22:25:01.679444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8eb0dfad-66cb-4fda-8788-207a0c8b2de1 · inbound
Adaptive Context Encoding Module for Semantic Segmentation cites this paper.
Adaptive Context Encoding Module for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T22:00:00.121162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c1df2222-e899-472d-817e-047d3a41332f · inbound
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Understanding Deep Learning Techniques for Image Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 32
- Resolution
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- local_arxiv, observed 2026-05-24T21:46:24.402676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 763bb449-1386-4a7f-b10c-e65e967b6b83 · inbound
Improving Semantic Segmentation via Dilated Affinity cites this paper.
Improving Semantic Segmentation via Dilated Affinity Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T20:59:54.644383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 17713ee5-4628-4d59-a85e-6f5f21990014 · inbound
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Efficient Segmentation: Learning Downsampling Near Semantic Boundaries Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T20:49:54.686777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5d710343-3811-451d-a576-cadcdc18bc23 · inbound
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News Cover Assessment via Multi-task Learning Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
- Resolution
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Observation a264f006-8774-48cd-bdc8-d88c433fea84 · inbound
An Efficient 3D CNN for Action/Object Segmentation in Video cites this paper.
An Efficient 3D CNN for Action/Object Segmentation in Video Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
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Source-reported events for the cited work
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Observation 5fb51916-454c-49ad-9b4a-61615fe450d0 · inbound
Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation cites this paper.
Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 6
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 440a4e37-bf4a-47c6-bade-70f675a9f9ed · inbound
Cross Attention Network for Semantic Segmentation cites this paper.
Cross Attention Network for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 19
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 162ecb53-9176-4c23-9a70-da76de91c061 · inbound
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network cites this paper.
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 14
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 18d790db-c0dc-434c-a1d1-bbe864c1f4e7 · inbound
SqueezeNAS: Fast neural architecture search for faster semantic segmentation cites this paper.
SqueezeNAS: Fast neural architecture search for faster semantic segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 19
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6997c5e6-26af-4dcd-8ab8-7e473cdf5d29 · inbound
A Robust Billboard-based Free-viewpoint Video Synthesizing Algorithm for Sports Scenes cites this paper.
A Robust Billboard-based Free-viewpoint Video Synthesizing Algorithm for Sports Scenes Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 47
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc42918f-b477-42e1-b5ec-286aae5ad841 · inbound
A Distraction Score for Watermarks cites this paper.
A Distraction Score for Watermarks Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 578c79e0-3c8c-4d4a-884c-73ce757c51bc · inbound
AutoGAN: Neural Architecture Search for Generative Adversarial Networks cites this paper.
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 9
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba43b595-ab8b-41fe-85f1-e794086a04e9 · inbound
Boosted GAN with Semantically Interpretable Information for Image Inpainting cites this paper.
Boosted GAN with Semantically Interpretable Information for Image Inpainting Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 26
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ac4981c-c866-4743-8ce1-5739335690a3 · inbound
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion cites this paper.
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a54b11a-8eb9-4c1d-8f70-1eff7c81c9a4 · inbound
Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning cites this paper.
Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12bee70e-ca60-4208-b222-6c8d42cfeed1 · inbound
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network cites this paper.
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 1
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53cb203d-32a7-47e5-a224-b01d621f8b3e · inbound
RANet: Ranking Attention Network for Fast Video Object Segmentation cites this paper.
RANet: Ranking Attention Network for Fast Video Object Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 6
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2723bc46-4ea0-4ee2-88ab-a572e45ab8cc · inbound
Asymmetric Non-local Neural Networks for Semantic Segmentation cites this paper.
Asymmetric Non-local Neural Networks for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd205166-3fba-4197-b072-6f5201aaf563 · inbound
Deep High-Resolution Representation Learning for Visual Recognition cites this paper.
Deep High-Resolution Representation Learning for Visual Recognition Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 21
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ab37365-c8ec-4a1b-a94f-dc54fd6aa35f · inbound
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations cites this paper.
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 14
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b40ee2e-d54e-45ad-8f0b-542fd1fbce92 · inbound
Feedbackward Decoding for Semantic Segmentation cites this paper.
Feedbackward Decoding for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 6
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6166091-77e5-48bb-8a66-16402dd2e8ca · inbound
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task cites this paper.
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 3
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5b8f767-eec3-4817-82c1-7b075a398bb9 · inbound
See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation cites this paper.
See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f3a33f1-f029-4ca5-b342-cfb00d3ee93d · inbound
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach cites this paper.
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0748f91a-b336-45e9-9662-c9a4e6c3bb7b · inbound
Customizable Architecture Search for Semantic Segmentation cites this paper.
Customizable Architecture Search for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27b1428e-db93-41fa-9ddc-edc1dfac6895 · inbound
SPGNet: Semantic Prediction Guidance for Scene Parsing cites this paper.
SPGNet: Semantic Prediction Guidance for Scene Parsing Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 9
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Source-reported events for the cited work
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Observation 7a2e106d-cdd8-4898-af97-9c0a7ba66c5f · inbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation cites this paper.
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f53bf0c3-8cf8-4c6a-98b5-097182dd1916 · inbound
Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2night cites this paper.
Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2night Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9bfe17a-2052-46df-a4c5-bc69b6271bf1 · inbound
Self-supervised blur detection from synthetically blurred scenes cites this paper.
Self-supervised blur detection from synthetically blurred scenes Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 28
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b8d6790-8cb0-4234-8c1f-4d8ee66cf869 · inbound
DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides cites this paper.
DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3549869-5971-475f-aa22-718bd02b4db7 · inbound
DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images cites this paper.
DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 26
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de34268d-de2b-4b88-89a1-b1af2580fa8a · inbound
Small Obstacle Avoidance Based on RGB-D Semantic Segmentation cites this paper.
Small Obstacle Avoidance Based on RGB-D Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 3
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a169a50-ac62-43f7-ba84-91e67bf3f585 · inbound
Learning Rich Representations For Structured Visual Prediction Tasks cites this paper.
Learning Rich Representations For Structured Visual Prediction Tasks Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 71
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 162ec4df-f916-486e-9d69-8459d464b791 · inbound
DeepHealth: Review and challenges of artificial intelligence in health informatics cites this paper.
DeepHealth: Review and challenges of artificial intelligence in health informatics Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 172
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 615933be-9767-4206-b532-1bcd9af7646a · inbound
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid cites this paper.
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3629e975-b41f-43b8-9bc9-41bde5ff82a4 · inbound
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths cites this paper.
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e49d3d7-04cf-44ec-9924-25d3e4de31f3 · inbound
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer cites this paper.
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 1
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4bc7ff30-680d-458f-b4f4-c14d18d575b2 · inbound
Language-driven Semantic Segmentation cites this paper.
Language-driven Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 1
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4101659a-6957-4fee-b51a-18891c02f39f · inbound
Causal Unsupervised Semantic Segmentation cites this paper.
Causal Unsupervised Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 1
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a7b692e2-1afe-41ed-bcbb-5a205e8178b8 · inbound
FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching cites this paper.
FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3773f94b-fa94-4dc0-a242-99a60211526e · inbound
Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes cites this paper.
Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 7
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation af9df733-caf2-4da2-957f-02c385393ba1 · inbound
Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era cites this paper.
Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2017
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf232257-df2a-42e8-9f16-62aed9593f8e · inbound
A Realistic Collimated X-Ray Image Simulation Pipeline cites this paper.
A Realistic Collimated X-Ray Image Simulation Pipeline Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77bafc53-de6a-477d-be1f-4594b6a9924a · inbound
BiDense: Binarization for Dense Prediction cites this paper.
BiDense: Binarization for Dense Prediction Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cd55453-d043-493e-8692-769ab91603b2 · inbound
Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster cites this paper.
Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 36
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e9a3072-ead3-42f6-90f9-6ccae0aabb43 · inbound
Cyborg Insect Factory: Automatic Assembly System to Build up Insect-computer Hybrid Robot Based on Vision-guided Robotic Arm Manipulation of Custom Bipolar Electrodes cites this paper.
Cyborg Insect Factory: Automatic Assembly System to Build up Insect-computer Hybrid Robot Based on Vision-guided Robotic Arm Manipulation of Custom Bipolar Electrodes Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 47
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e62e7cb4-b474-4cf4-bb66-e133ddfdfb92 · inbound
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach cites this paper.
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 43
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51e8d550-7d97-431b-b0d4-f503b2936ce5 · inbound
Night-to-Day Translation via Illumination Degradation Disentanglement cites this paper.
Night-to-Day Translation via Illumination Degradation Disentanglement Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d726cb3-2dc1-4155-942e-be53e2a99990 · inbound
MobileMamba: Lightweight Multi-Receptive Visual Mamba Network cites this paper.
MobileMamba: Lightweight Multi-Receptive Visual Mamba Network Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cdf6512-deee-4e87-afcd-a7623a0fe3ff · inbound
Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation cites this paper.
Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 17
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c1c10957-3323-416e-a670-764ebc81395e · inbound
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation cites this paper.
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 6
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2f4f4697-41c2-4549-b657-4d2b1bd022d3 · inbound
MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution cites this paper.
MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 26
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68e73ddd-f79b-4b9b-bd4c-c11d81ed3761 · inbound
PDZSeg: Adapting the Foundation Model for Dissection Zone Segmentation with Visual Prompts in Robot-assisted Endoscopic Submucosal Dissection cites this paper.
PDZSeg: Adapting the Foundation Model for Dissection Zone Segmentation with Visual Prompts in Robot-assisted Endoscopic Submucosal Dissection Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47a04d6f-e7fb-4a74-b692-ee2ecef26e9a · inbound
CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation cites this paper.
CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c3a0701-eb07-4aa1-a8e6-ac61d243cd8a · inbound
ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model cites this paper.
ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 10
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ba7770f-c367-4051-88d9-93e693dfff93 · inbound
TAROT: Targeted Data Selection via Optimal Transport cites this paper.
TAROT: Targeted Data Selection via Optimal Transport Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2020
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52892eac-21a7-4626-a8ad-2a3529d91f2b · inbound
Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions cites this paper.
Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab4c5850-2f19-4eec-91ca-995044a7f491 · inbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging cites this paper.
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2
- Resolution
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- no resolver link, observed 2026-08-11T22:46:00.599751Z
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Observation b6f412c2-8965-4d18-b97b-605dd58c3448 · inbound
A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers cites this paper.
A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 9
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Observation 5e80af0f-6a33-4922-b411-0cad78917d44 · inbound
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era cites this paper.
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 25
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- no resolver link, observed 2026-08-11T20:53:48.469780Z
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Observation a39234c2-eb9b-4872-a495-7ba9d769b98e · inbound
CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation cites this paper.
CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 49
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- no resolver link, observed 2026-08-11T20:21:51.070411Z
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Observation 27c66c10-25ee-4957-9181-c182d232c896 · inbound
Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation cites this paper.
Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 58
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- no resolver link, observed 2026-08-11T20:14:38.111378Z
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Observation 5a496a07-2004-4d32-903d-8284e539d0f1 · inbound
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation cites this paper.
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 26
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- no resolver link, observed 2026-08-11T20:06:32.618600Z
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Observation ae7c6e4f-a45b-4f1c-a9d6-acc98fc6d9f8 · inbound
One-shot Human Motion Transfer via Occlusion-Robust Flow Prediction and Neural Texturing cites this paper.
One-shot Human Motion Transfer via Occlusion-Robust Flow Prediction and Neural Texturing Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 55
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Observation 2d530fb5-38a8-4327-b7d5-cb0ba9cceb82 · inbound
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation cites this paper.
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 10
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- no resolver link, observed 2026-08-11T19:40:06.558110Z
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Observation 36fdb226-809c-470c-a8f7-1c052012d1e0 · inbound
EMOv2: Pushing 5M Vision Model Frontier cites this paper.
EMOv2: Pushing 5M Vision Model Frontier Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 102
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Observation 486c6ad6-2ac9-4031-be8d-d5d5d73d361f · inbound
Fast Occupancy Network cites this paper.
Fast Occupancy Network Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
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Observation be227697-4200-493d-870d-90017d64bfb4 · inbound
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery cites this paper.
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 8
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- no resolver link, observed 2026-08-11T18:27:39.704327Z
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Observation 4cdf7573-1b6f-4ccc-93bf-580eb2e3c27b · inbound
Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation cites this paper.
Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 4
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- no resolver link, observed 2026-08-11T18:20:33.243076Z
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Observation f8eacefe-1e47-42bd-9393-fa21abbd6197 · inbound
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos cites this paper.
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 13
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- no resolver link, observed 2026-08-11T16:56:06.957806Z
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Observation a74d870f-90aa-46a6-84eb-18883a2b2f8e · inbound
MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization cites this paper.
MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 1
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- no resolver link, observed 2026-08-11T16:17:52.849425Z
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Observation e17ee739-1306-48d8-95ce-c5a4a67ead0c · inbound
Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation cites this paper.
Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 10
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- no resolver link, observed 2026-08-11T16:13:21.429902Z
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Observation 68cb89d1-0e6c-481b-9f05-bc0b981decdf · inbound
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation cites this paper.
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 26
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- no resolver link, observed 2026-08-11T14:51:09.802978Z
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Observation b95d85bc-0657-45fa-ad01-75d99f7a016b · inbound
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation cites this paper.
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 3
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- no resolver link, observed 2026-08-11T14:32:17.394296Z
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Observation 6c751a9c-cb6e-4dcf-9d46-8d5fe5a913a9 · inbound
SAMIC: Segment Anything with In-Context Spatial Prompt Engineering cites this paper.
SAMIC: Segment Anything with In-Context Spatial Prompt Engineering Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 11
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- no resolver link, observed 2026-08-11T14:27:23.503858Z
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Observation 4429bad7-00f8-4e80-a3ee-94850875aec3 · inbound
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation cites this paper.
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 7
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- no resolver link, observed 2026-08-11T13:55:55.215233Z
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Observation a598218b-0776-4157-8f98-2909273e69e0 · inbound
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing cites this paper.
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 6
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Observation bc2ad021-e894-4ec8-8c87-8946d0ff3116 · inbound
Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving cites this paper.
Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 9
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Observation 5a69a2d8-c3b9-4d09-abc2-bd874521e2f5 · inbound
A Decade of Deep Learning: A Survey on The Magnificent Seven cites this paper.
A Decade of Deep Learning: A Survey on The Magnificent Seven Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2018
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Observation f3b69408-82a6-4a22-972e-7be87d0e0020 · inbound
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation cites this paper.
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 24
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- no resolver link, observed 2026-08-11T10:26:30.818258Z
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Observation b0ea2030-c4c1-4364-8c60-c1a3b8022cd9 · inbound
Generative Face Parsing Map Guided 3D Face Reconstruction Under Occluded Scenes cites this paper.
Generative Face Parsing Map Guided 3D Face Reconstruction Under Occluded Scenes Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 6
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- no resolver link, observed 2026-08-11T04:24:27.975161Z
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Observation 827f8ffa-68d8-4574-a927-29a52c486f37 · inbound
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective cites this paper.
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 37
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Observation d568e063-633c-4be9-85f0-2bd9371620fa · inbound
Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction cites this paper.
Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 8
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- no resolver link, observed 2026-08-10T23:21:24.719520Z
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Observation c2120820-1b79-4ef1-a38c-267c1ffd16cf · inbound
Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves cites this paper.
Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
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- no resolver link, observed 2026-08-10T22:52:10.784744Z
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Observation e2c4b290-419c-403a-8e05-0faca87a593b · inbound
A Multi-task Supervised Compression Model for Split Computing cites this paper.
A Multi-task Supervised Compression Model for Split Computing Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 4
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- no resolver link, observed 2026-08-10T22:32:53.300865Z
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Observation 10f9b492-aaaa-48bf-a429-8112f657918a · inbound
Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation cites this paper.
Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 38
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- no resolver link, observed 2026-08-10T22:09:57.089522Z
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Observation 866e1460-0dcf-453f-b170-bde18ad647fd · inbound
LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation cites this paper.
LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 38
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- no resolver link, observed 2026-08-10T21:48:59.441474Z
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Observation 8c93bfb6-4d51-4862-8517-4a17416d992b · inbound
Parking Space Detection in the City of Granada cites this paper.
Parking Space Detection in the City of Granada Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
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- no resolver link, observed 2026-08-10T20:58:34.412532Z
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Observation 060a7090-5b69-4711-a525-209029ae5646 · inbound
Threshold Attention Network for Semantic Segmentation of Remote Sensing Images cites this paper.
Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 36
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Observation b538a850-95ed-4fe9-a368-7d2187273129 · inbound
Pseudolabel guided pixels contrast for domain adaptive semantic segmentation cites this paper.
Pseudolabel guided pixels contrast for domain adaptive semantic segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
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- unresolved
- no resolver link, observed 2026-08-10T20:28:41.203164Z
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Observation 2984022f-754b-479b-8c3f-6948010faa05 · inbound
SVIA: A Street View Image Anonymization Framework for Self-Driving Applications cites this paper.
SVIA: A Street View Image Anonymization Framework for Self-Driving Applications Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 21
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- no resolver link, observed 2026-08-10T20:10:51.159634Z
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Observation e5294c37-e609-4e46-8a3c-cf8095d8f3e0 · inbound
Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation cites this paper.
Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 6
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- unresolved
- no resolver link, observed 2026-08-10T19:48:34.576387Z
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Observation e6743cc7-a474-40f7-bc06-2ca374508264 · inbound
Automatic Labelling & Semantic Segmentation with 4D Radar Tensors cites this paper.
Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2
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- no resolver link, observed 2026-08-10T18:25:15.367328Z
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Observation f0735859-352e-4012-acf4-c4dc7398121a · inbound
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning cites this paper.
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 14
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- no resolver link, observed 2026-08-10T17:35:46.098571Z
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Observation cfd91449-ef25-435b-9789-1391588e95f0 · inbound
A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation cites this paper.
A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 98
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- no resolver link, observed 2026-08-10T17:08:39.993030Z
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