Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:54.355564Z
Paper Citation Record · LEDGER
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy
As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2505.17665.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
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- verified fuzzy50
- unresolved5
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bd5e1373-82c8-4915-841d-c553e18de509 · outbound
This paper cites River segmentation for flood monitoring,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy River segmentation for flood monitoring,
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f0a4b148-416c-4d6b-9412-c6ab309dcc4d · outbound
This paper cites Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics,
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 16f75d81-4fe4-4c58-85ed-2693870707fa · outbound
This paper cites Multispectral semantic land cover segmentation from aerial imagery with deep encoder–decoder network,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Multispectral semantic land cover segmentation from aerial imagery with deep encoder–decoder network,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:03.183302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 08bf7aff-865c-43c8-807c-0cfd26e003c8 · outbound
This paper cites Deep learning-based remote and social sensing data fusion for urban region function recognition,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Deep learning-based remote and social sensing data fusion for urban region function recognition,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:03.008899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6bae62b1-266f-469d-8629-ae6a29d38fab · outbound
This paper cites Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:02.870429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 73388005-d292-4f00-bdca-9841d262580d · outbound
This paper cites Regularized least squares twin svm for multiclass classification,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Regularized least squares twin svm for multiclass classification,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:02.658281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation baaad2ba-742b-4c16-9b49-689770d3a0bb · outbound
This paper cites Automatedsegmentationofirisimagesacquired in an unconstrained environment using hog-svm and growcut,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Automatedsegmentationofirisimagesacquired in an unconstrained environment using hog-svm and growcut,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:02.514663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ff961a2e-1a02-4b95-96a8-4807c75ce5bd · outbound
This paper cites Unsupervisedshipdetectionbasedonsaliencyand s-hog descriptor from optical satellite images,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Unsupervisedshipdetectionbasedonsaliencyand s-hog descriptor from optical satellite images,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:02.432124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 81e5c25b-e7c8-456b-ac80-cb3695105e17 · outbound
This paper cites Unsupervised domain adaptation for semantic segmentation of high-resolution remote sensing imagery,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Unsupervised domain adaptation for semantic segmentation of high-resolution remote sensing imagery,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:02.271646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fcdc50a6-e16f-4f42-8540-23eae11d1c9e · outbound
This paper cites Enhanced contextual representation with deep neural networks for land cover classification based on remote sensing images,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Enhanced contextual representation with deep neural networks for land cover classification based on remote sensing images,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:02.142461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 371718a6-749a-4e4a-98b4-1701f63f2c8a · outbound
This paper cites Object detection in high-resolution remote sensing images based on a hard-example-mining network,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Object detection in high-resolution remote sensing images based on a hard-example-mining network,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:02.040325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5665f0a7-89db-4474-bc21-566bf7a5ada2 · outbound
This paper cites A domain adaptation neural network for change detection with heterogeneous optical and SAR remote sensing images,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy A domain adaptation neural network for change detection with heterogeneous optical and SAR remote sensing images,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:01.908182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4f80e065-604e-4e2e-8b13-29494c5665c0 · outbound
This paper cites Fully convolutional networks for semantic segmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Fully convolutional networks for semantic segmentation,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:01.775902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 03a2a942-019f-4035-82c4-7b2a780d39a2 · outbound
This paper cites In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III, ser.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III, ser
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:01.616936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation da705698-4e81-4721-b1c9-2e8950a661bf · outbound
This paper cites Multistage attention ResU-Net for semantic segmentation of fine-resolution remote sensing images,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Multistage attention ResU-Net for semantic segmentation of fine-resolution remote sensing images,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:01.475823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0cfe20ef-2019-43ca-86a2-ca167caba594 · outbound
This paper cites Large kernel matters–improve semantic segmentationbyglobalconvolutionalnetwork,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Large kernel matters–improve semantic segmentationbyglobalconvolutionalnetwork,
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f37933a5-83c6-4880-a0c4-d40e4f84644b · outbound
This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Encoder-decoder with atrous separable convolution for semantic image segmentation,
Reference 17
- Resolution
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- raw_fallback, observed 2026-08-07T14:47:01.165743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 620feba2-5496-416e-8367-769c8052c778 · outbound
This paper cites Pyramid scene parsing network,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Pyramid scene parsing network,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:00.941981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e782b77c-1f51-4e1b-b0d6-de37a7825628 · outbound
This paper cites Diverse region-based CNN for hyperspectral image classification,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Diverse region-based CNN for hyperspectral image classification,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:00.922360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fa42e25e-f502-4b3a-b1c0-18682c1e031f · outbound
This paper cites Attentionisallyouneed,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Attentionisallyouneed,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:00.727923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a0a53e43-c4fb-477a-ab2b-0cdffb5da208 · outbound
This paper cites Encoding contextual information by interlacing transformer and convolution for remote sensing imagery semanticsegmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Encoding contextual information by interlacing transformer and convolution for remote sensing imagery semanticsegmentation,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:00.455119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c07a4bbf-55ad-44ac-a762-827c5829741a · outbound
This paper cites DSViT:Dynamicallyscalablevisiontransformerforremote sensingimagesegmentationandclassification,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy DSViT:Dynamicallyscalablevisiontransformerforremote sensingimagesegmentationandclassification,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:00.313851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5ef473b3-9dd0-4eb1-a6c8-d3cbbf8dd6c5 · outbound
This paper cites Semantic segmentation with attention mechanism for remote sensing images,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Semantic segmentation with attention mechanism for remote sensing images,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:47:00.217121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 59ccd90e-5f5b-4457-ab41-17e1bdc5d3f9 · outbound
This paper cites ISPRS Journal of PhotogrammetryandRemoteSensing,vol.145,pp.78–95,2018.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy ISPRS Journal of PhotogrammetryandRemoteSensing,vol.145,pp.78–95,2018
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:59.959376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2d8d62bc-28a0-41ff-8e61-34ff9dd63dbc · outbound
This paper cites ISPRSJournal ofPhotogrammetryandRemoteSensing,vol.156,pp.1–13,2019.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy ISPRSJournal ofPhotogrammetryandRemoteSensing,vol.156,pp.1–13,2019
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:59.794880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1867dce6-0cc2-4593-9c24-c5c6ab6b61c3 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:59.681396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 28a765c6-c1e1-4cb8-8844-cff643f909ec · outbound
This paper cites an unresolved cited work.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Unresolved cited work
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6558f608-524b-40b5-91d0-a2800e104b42 · outbound
This paper cites IEEE Transactions on Geoscience and RemoteSensing,vol.59,no.1,pp.426–435,2020.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy IEEE Transactions on Geoscience and RemoteSensing,vol.59,no.1,pp.426–435,2020
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:59.486759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 00c2d7db-1688-4a6b-bcef-0ff0d18849f2 · outbound
This paper cites an unresolved cited work.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:46:59.440699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a3f4056e-8a05-4510-92af-ec6bf00efc4d · outbound
This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019,2019,pp.3146–3154.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019,2019,pp.3146–3154
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2b57ef69-45b7-47fc-b0e3-718316b72819 · outbound
This paper cites an unresolved cited work.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e6cc7c85-07bb-4811-82ab-0557c5561403 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02160fcb-217f-498f-84f8-bd823f20ee87 · outbound
This paper cites In: 2021 IEEE/CVF International Conference on Computer Vision, ICCV2021,2021,pp.32–42.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy In: 2021 IEEE/CVF International Conference on Computer Vision, ICCV2021,2021,pp.32–42
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:58.579824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 98e038d8-f171-442a-a7b8-a2160b7d0cab · outbound
This paper cites In: 2021 IEEE/CVF InternationalConferenceonComputerVision,ICCV2021,2021,pp.9992–10002.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy In: 2021 IEEE/CVF InternationalConferenceonComputerVision,ICCV2021,2021,pp.9992–10002
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:58.230810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c57fb7d6-cc9f-45e4-b5f2-52dd500e0274 · outbound
This paper cites In: Computer Vision - ECCV 2020 - 16th European Conference, 2020, pp.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy In: Computer Vision - ECCV 2020 - 16th European Conference, 2020, pp
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:58.107438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 269d26d1-553d-473a-b7a0-421bbfbf8b90 · outbound
This paper cites G., Laptev, I., Schmid, C.: Segmenter: Transformer for semantic segmentation.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy G., Laptev, I., Schmid, C.: Segmenter: Transformer for semantic segmentation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:57.983083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d76024d1-018c-4f2b-b02d-7da30b9ce491 · outbound
This paper cites M., Luo, P.: Segformer: Simple and efficient design for semantic segmentation with transformers.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy M., Luo, P.: Segformer: Simple and efficient design for semantic segmentation with transformers
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:57.815177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3fd9c5f1-345a-472e-b9de-f35d60bdbbcf · outbound
This paper cites Vision transformers for dense prediction,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Vision transformers for dense prediction,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:57.677585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5a6b7950-80c4-454d-9bd4-d873677aa45e · outbound
This paper cites Multi-class token transformer for weakly supervised semantic segmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Multi-class token transformer for weakly supervised semantic segmentation,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:57.511046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1c798b98-a40c-4893-a561-4522b2914de3 · outbound
This paper cites Remote sensing image change detection with transformers,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Remote sensing image change detection with transformers,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:57.261049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 66528397-96f7-4dbe-a287-d09a9ada87f8 · outbound
This paper cites Pan-sharpening with customized transformer and invertible neural network,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Pan-sharpening with customized transformer and invertible neural network,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:56.986708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5a4a66e7-8c87-4329-b339-56b191d8cbfb · outbound
This paper cites Enhancing multiscale representations with transformer for remote sensing image semanticsegmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Enhancing multiscale representations with transformer for remote sensing image semanticsegmentation,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:56.714428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 867972bb-335a-4ba8-b148-3a09966c6636 · outbound
This paper cites Attention is all you need,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Attention is all you need,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:56.475675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7b65406f-28f3-463f-9587-cc28dd5d1a85 · outbound
This paper cites Training data-efficient image transformers & distillation through attention,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Training data-efficient image transformers & distillation through attention,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:56.211534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8c8efc7d-88ca-491c-b21a-d503c119aec2 · outbound
This paper cites Learning a classification model for segmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Learning a classification model for segmentation,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:56.016618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5fd97960-0dc6-4d8f-8210-0594dd26fc4a · outbound
This paper cites Semantic segmentation by early region proxy,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Semantic segmentation by early region proxy,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:55.852876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9bc80515-111b-4fcf-8c17-1f8e21331cc1 · outbound
This paper cites How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:53.729509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20069e3b-9e26-4e66-87be-56cd27100482 · outbound
This paper cites MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:55.721350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f98baff-db94-4460-b0fd-08b3d5381239 · outbound
This paper cites A stochastic approximation method,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy A stochastic approximation method,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:55.587793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ce8546c2-f8d1-4bbf-9436-f2ff84a2b1ec · outbound
This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Encoder-decoder with atrous separable convolution for semantic image segmentation,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:55.350991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bd2d0a7b-c444-4ba0-9286-9be749a784e5 · outbound
This paper cites UNet++: Nested U-Net for medical image segmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy UNet++: Nested U-Net for medical image segmentation,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:55.107639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0e8c21f0-2d06-42e2-ad99-cc6c7e7b4af4 · outbound
This paper cites Pyramid scene parsing network,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Pyramid scene parsing network,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:54.873816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5852146f-4b6c-45bf-9718-e2402c53df78 · outbound
This paper cites Deep high-resolutionrepresentationlearningforvisualrecognition,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Deep high-resolutionrepresentationlearningforvisualrecognition,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:54.744757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3f282a66-544d-45e4-a2c1-2058c719eec1 · outbound
This paper cites Trseg: Transformer for semantic segmentation,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Trseg: Transformer for semantic segmentation,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:54.631746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 219a7f90-985b-4a67-ab09-7a819a664802 · outbound
This paper cites Multimodal remote sensing image segmentation with intuition-inspired hypergraph modeling,.
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy Multimodal remote sensing image segmentation with intuition-inspired hypergraph modeling,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:54.492697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.