Paper Citation Record · LEDGER

Asymmetric Non-local Neural Networks for Semantic Segmentation

As of 23 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:1908.07678.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.07678 v5

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:17:50.855836Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:24:47.395727Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T12:24:47.427618Z

Reference resolution

54 of 54 outbound references displayed

verified exact0
verified fuzzy40
unresolved14
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 077aa05a-a5df-481e-9884-5a232ac4a66a · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Segnet: A deep convolutional encoder-decoder architecture for image segmentation

Reference 1

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Observation f853ead1-925f-4a1a-882d-c5611548f983 · outbound

This paper cites A non-local algorithm for image denoising.

Asymmetric Non-local Neural Networks for Semantic Segmentation A non-local algorithm for image denoising

Reference 2

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Observation 71736801-8b68-4852-8583-fd7c9052a2f4 · outbound

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Asymmetric Non-local Neural Networks for Semantic Segmentation Unresolved cited work

Reference 3

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Observation e9a70dac-965b-49e7-8487-faf217982af9 · outbound

This paper cites Fast, exact and multi-scale inference for semantic image segmentation with deep gaussian crfs.

Asymmetric Non-local Neural Networks for Semantic Segmentation Fast, exact and multi-scale inference for semantic image segmentation with deep gaussian crfs

Reference 4

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Asymmetric Non-local Neural Networks for Semantic Segmentation Unresolved cited work

Reference 5

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Observation 1db81c3f-204a-4ff1-871f-74c70137e9fb · outbound

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Asymmetric Non-local Neural Networks for Semantic Segmentation Unresolved cited work

Reference 6

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Observation 2723bc46-4ea0-4ee2-88ab-a572e45ab8cc · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 7

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Observation b13a9ed5-582e-4ceb-92a2-3fda82fb919e · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 8

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Observation f8a39e91-ba48-4175-acb7-acda855503b1 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Asymmetric Non-local Neural Networks for Semantic Segmentation The cityscapes dataset for semantic urban scene understanding

Reference 9

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Observation a49a82db-2cd7-4965-894f-dffaf7f2b3e6 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Asymmetric Non-local Neural Networks for Semantic Segmentation Imagenet: A large-scale hierarchical image database

Reference 10

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Observation 3e763a16-c365-418b-9258-52160fcd04b8 · outbound

This paper cites Context contrasted feature and gated multi- scale aggregation for scene segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Context contrasted feature and gated multi- scale aggregation for scene segmentation

Reference 11

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Observation f9444aef-9afe-41f0-9723-3833ca53e269 · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition.

Asymmetric Non-local Neural Networks for Semantic Segmentation Spatial pyramid pooling in deep convolutional networks for visual recognition

Reference 12

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Observation 775bc79b-68d9-4774-a0e4-5311e68ca78d · outbound

This paper cites Deep residual learning for image recognition.

Asymmetric Non-local Neural Networks for Semantic Segmentation Deep residual learning for image recognition

Reference 13

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Asymmetric Non-local Neural Networks for Semantic Segmentation Unresolved cited work

Reference 14

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Observation 1c024e88-4665-4604-a597-5a394a2e7127 · outbound

This paper cites Lafferty, Andrew McCallum, and Fernando C.

Asymmetric Non-local Neural Networks for Semantic Segmentation Lafferty, Andrew McCallum, and Fernando C

Reference 15

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Observation 41c57040-13e6-4340-ba8f-4f07144f5674 · outbound

This paper cites Be- yond bags of features: Spatial pyramid matching for recog- nizing natural scene categories.

Asymmetric Non-local Neural Networks for Semantic Segmentation Be- yond bags of features: Spatial pyramid matching for recog- nizing natural scene categories

Reference 16

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Observation 9342c5a0-8cd6-406c-b877-87c4b8dce84d · outbound

This paper cites Dynamic- structured semantic propagation network.

Asymmetric Non-local Neural Networks for Semantic Segmentation Dynamic- structured semantic propagation network

Reference 17

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Observation 79cf04d4-9fa0-4dbb-b080-13fb676ebfe6 · outbound

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Asymmetric Non-local Neural Networks for Semantic Segmentation Unresolved cited work

Reference 18

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Observation 473befd5-1ae5-4724-95b1-39047d6aec8c · outbound

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Asymmetric Non-local Neural Networks for Semantic Segmentation Unresolved cited work

Reference 19

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Observation f0c9c7ce-ce64-4ac6-87c2-19266d7433aa · outbound

This paper cites ParseNet: Looking Wider to See Better.

Asymmetric Non-local Neural Networks for Semantic Segmentation ParseNet: Looking Wider to See Better

Reference 20

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Observation 94ed975d-617f-426f-9588-7f8694a91a99 · outbound

This paper cites The role of context for object detection and se- mantic segmentation in the wild.

Asymmetric Non-local Neural Networks for Semantic Segmentation The role of context for object detection and se- mantic segmentation in the wild

Reference 21

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Observation 81a259eb-4206-4241-9a6d-4bfe75a5a15e · outbound

This paper cites Learning deconvolution network for semantic segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Learning deconvolution network for semantic segmentation

Reference 22

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Observation e5b26871-f661-4aa9-a3aa-f639c61b166e · outbound

This paper cites Automatic differentiation in pytorch.

Asymmetric Non-local Neural Networks for Semantic Segmentation Automatic differentiation in pytorch

Reference 23

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Observation d9b44404-79b4-4304-bce7-40e7203716f6 · outbound

This paper cites Large kernel matters - improve semantic segmenta- tion by global convolutional network.

Asymmetric Non-local Neural Networks for Semantic Segmentation Large kernel matters - improve semantic segmenta- tion by global convolutional network

Reference 24

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Observation 656b7a27-de35-448a-b9fc-c6a859c72977 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 25

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Observation f440cfb1-6b94-4a17-891b-09788b308118 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Fully convolutional networks for semantic segmentation

Reference 26

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Observation 6393c59f-2bfd-4eed-ac45-fc74799ec69f · outbound

This paper cites Deep semantic segmentation for auto- mated driving: Taxonomy, roadmap and challenges.

Asymmetric Non-local Neural Networks for Semantic Segmentation Deep semantic segmentation for auto- mated driving: Taxonomy, roadmap and challenges

Reference 27

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Observation 2eb29de2-f733-4a87-8ec2-5d75ecfea2f9 · outbound

This paper cites A 9 comparative study of real-time semantic segmentation for autonomous driving.

Asymmetric Non-local Neural Networks for Semantic Segmentation A 9 comparative study of real-time semantic segmentation for autonomous driving

Reference 28

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Observation d886345e-f02e-4c1a-820a-555d1625b55f · outbound

This paper cites Indoor segmentation and support inference from RGBD images.

Asymmetric Non-local Neural Networks for Semantic Segmentation Indoor segmentation and support inference from RGBD images

Reference 29

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Observation 7489c546-a6f9-49cf-932f-629aef4f6fa8 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Asymmetric Non-local Neural Networks for Semantic Segmentation Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 30

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Observation 989904cb-0bb2-41ad-a852-a4d163efd373 · outbound

This paper cites Gaussian conditional random ﬁeld network for semantic segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Gaussian conditional random ﬁeld network for semantic segmentation

Reference 31

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Observation 0c12de7e-fb43-4d06-8636-8aef35bb042e · outbound

This paper cites Cottrell.

Asymmetric Non-local Neural Networks for Semantic Segmentation Cottrell

Reference 32

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Observation 182bfc7c-ee95-4b7a-8552-6ecb78eae266 · outbound

This paper cites Girshick, Abhinav Gupta, and Kaiming He.

Asymmetric Non-local Neural Networks for Semantic Segmentation Girshick, Abhinav Gupta, and Kaiming He

Reference 33

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Observation b88e8fac-7317-46ac-891f-83de87edeec3 · outbound

This paper cites Wider or Deeper: Revisiting the ResNet Model for Visual Recognition.

Asymmetric Non-local Neural Networks for Semantic Segmentation Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

Reference 34

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Observation 81fb301e-479a-44d1-ac0d-fd7e4588bf97 · outbound

This paper cites Uniﬁed perceptual parsing for scene understand- ing.

Asymmetric Non-local Neural Networks for Semantic Segmentation Uniﬁed perceptual parsing for scene understand- ing

Reference 35

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Observation 4ad7c232-5aa5-4187-9e8b-b7af940532d8 · outbound

This paper cites Denseaspp for semantic segmentation in street scenes.

Asymmetric Non-local Neural Networks for Semantic Segmentation Denseaspp for semantic segmentation in street scenes

Reference 36

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Observation ab77cbab-0ca2-4f03-b5f3-0c2fad1717e8 · outbound

This paper cites Torchcv: A pytorch-based framework for deep learning in computer vision.

Asymmetric Non-local Neural Networks for Semantic Segmentation Torchcv: A pytorch-based framework for deep learning in computer vision

Reference 37

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Observation 89dc0de9-dfef-4c99-9b51-d27de43af42a · outbound

This paper cites Bisenet: Bilateral segmenta- tion network for real-time semantic segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Bisenet: Bilateral segmenta- tion network for real-time semantic segmentation

Reference 38

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Observation ed4b9add-0b07-406f-9d00-fc9a64132fac · outbound

This paper cites Learning a discriminative feature network for semantic segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Learning a discriminative feature network for semantic segmentation

Reference 39

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Observation 4b846b47-4751-482b-8e75-aa91c7082c9b · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Asymmetric Non-local Neural Networks for Semantic Segmentation Multi-Scale Context Aggregation by Dilated Convolutions

Reference 40

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Observation 872288c5-31c6-4f8d-978b-b5c9413f6bf7 · outbound

This paper cites Deep layer aggregation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Deep layer aggregation

Reference 41

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Observation 1be4db9c-e920-4c39-80f7-b6c5e9125a05 · outbound

This paper cites OCNet: Object Context Network for Scene Parsing.

Asymmetric Non-local Neural Networks for Semantic Segmentation OCNet: Object Context Network for Scene Parsing

Reference 42

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Observation 7b99c724-1ac6-4377-a007-608e5d6323f5 · outbound

This paper cites Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal.

Asymmetric Non-local Neural Networks for Semantic Segmentation Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal

Reference 43

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Observation a77959b6-a6c4-4325-9f22-1e30acce4445 · outbound

This paper cites Goodfellow, Dimitris N.

Asymmetric Non-local Neural Networks for Semantic Segmentation Goodfellow, Dimitris N

Reference 44

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Observation df08632f-3a5a-4bd5-b68f-96732ddbaca2 · outbound

This paper cites Scale-adaptive convolutions for scene pars- ing.

Asymmetric Non-local Neural Networks for Semantic Segmentation Scale-adaptive convolutions for scene pars- ing

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:17:51.040790Z

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Observation 32dbc83c-ac65-4e32-9bae-cbc92ab33699 · outbound

This paper cites Exfuse: Enhancing feature fusion for semantic segmentation.

Asymmetric Non-local Neural Networks for Semantic Segmentation Exfuse: Enhancing feature fusion for semantic segmentation

Reference 46

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Observation fafeda49-5ecf-4ce4-90e9-1f0ecf854963 · outbound

This paper cites Pyramid scene parsing network.

Asymmetric Non-local Neural Networks for Semantic Segmentation Pyramid scene parsing network

Reference 47

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Observation 5fb9f87d-ac06-47de-943a-9d60709c51ca · outbound

This paper cites Psanet: Point- wise spatial attention network for scene parsing.

Asymmetric Non-local Neural Networks for Semantic Segmentation Psanet: Point- wise spatial attention network for scene parsing

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:17:51.007244Z

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Observation 57a42cc0-d040-479a-acf6-0bd8fd573864 · outbound

This paper cites an unresolved cited work.

Asymmetric Non-local Neural Networks for Semantic Segmentation Unresolved cited work

Reference 49

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Observation 1afc8e2b-193c-4db7-83cb-7832622d88a0 · outbound

This paper cites Scene parsing through ADE20K dataset.

Asymmetric Non-local Neural Networks for Semantic Segmentation Scene parsing through ADE20K dataset

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:17:50.984129Z

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Observation 8c09501f-a7bf-4266-96f3-597a577b83a4 · outbound

This paper cites Similarity fusion for visual tracking.

Asymmetric Non-local Neural Networks for Semantic Segmentation Similarity fusion for visual tracking

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:17:50.973768Z

Source-reported events for the cited work

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Observation 5ee9fc51-3f61-433a-a771-abf0097f00e9 · outbound

This paper cites Prior-aware neu- ral network for partially-supervised multi-organ segmenta- tion.

Asymmetric Non-local Neural Networks for Semantic Segmentation Prior-aware neu- ral network for partially-supervised multi-organ segmenta- tion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:17:50.962705Z

Source-reported events for the cited work

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Observation cc04fe89-3cde-483f-979b-d87512a23a7a · outbound

This paper cites Semi-supervised 3d ab- dominal multi-organ segmentation via deep multi-planar co- training.

Asymmetric Non-local Neural Networks for Semantic Segmentation Semi-supervised 3d ab- dominal multi-organ segmentation via deep multi-planar co- training

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:17:50.951764Z

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Observation 627f04a8-fb7b-44a9-a189-b91ae13c8e8a · outbound

This paper cites an unresolved cited work.

Asymmetric Non-local Neural Networks for Semantic Segmentation Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:17:50.939879Z

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Pith citing papers

Observation a664fdfb-b8e6-4089-b9fa-e331d649b600 · inbound

Deep High-Resolution Representation Learning for Visual Recognition cites this paper.

Deep High-Resolution Representation Learning for Visual Recognition Asymmetric Non-local Neural Networks for Semantic Segmentation

Reference 197

Resolution: malformed identifier; local_arxiv, observed 2026-08-14T12:24:47.433216Z

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