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Paper Citation Record · LEDGER

EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy

As of 16 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.

pith.paper-citation-record.v1
2505.17665 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:54.355564Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy50
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:49.580979Z digest=sha256:dc27a52981488ab5c1f6115fbf55659330150e3ce3bfc2e267aec8b1048bf7aa

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:49.802706Z digest=sha256:5ff1468d4d78fc9f1ec2bbf3811d7131e81246a64acd91ccfd195c511c4c5e95

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:49.927764Z digest=sha256:e931b8a77fa327f57158965a956e6aeb5410470a9ff6ff2d7b579d84cf4f22fb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:50.050640Z digest=sha256:a1739dd212035bb9fc3775e9aa9c7d0b65ff0355b2fedd707389d6927ff65bb9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:50.140090Z digest=sha256:d39757e3fd422831f5343fca93d3d123f234489ea3bccb4e57e9a2aff7b0b615

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:50.245675Z digest=sha256:b4ae5118dcf31c383b753cd01a02eeb2ad5b5fefe6b0c486bf7e6e896b87c083

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:50.333313Z digest=sha256:533493ec0208b9f380dc71772013826d7f9e396463b523d91b1831cf3fdfc430

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:50.433118Z digest=sha256:971fbccf156a89d7afc7f0b1c4db019b51282fd874560456e388fc052fcff90d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:50.538187Z digest=sha256:39b56b1c26e5ccb17a2c2bdd802126e2b6b65dd8daac28a05e68cbcb511b435b

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 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:50.709880Z digest=sha256:a8fecb5fe2c990a30f49f9da8fc3533b13272f01814ce610f8c2064b158d2073

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
raw_fallback, observed 2026-08-07T14:47:01.370797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:50.966695Z digest=sha256:5976b5e986bc08d662cf4d2b1469d3f73c9ad9b4b19527383b2369c2995246c8

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

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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 2026-08-16T06:30:59.297886+00:00.

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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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:51.156668Z digest=sha256:0e1848833acc9fbc61a409495dad5037e683e4512b7b115b82a1aca84809d393

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:51.383225Z digest=sha256:e7725f4b1ee6d7f236c61d0edbb4da9d2d2a1cf77601c34bf7e124698fa21dfa

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:51.483690Z digest=sha256:3d73226a63ec3d174c37b1c7c12c802c2cd310210b550517700849b891fd73e3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:51.573928Z digest=sha256:b1978655a16a4e0ae2d1c12cbbfd43ccaa6796b6ea926eed84e9f8f75c73f653

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:51.683030Z digest=sha256:54adeda61e000a4594257fe39c27a1fea2d8cc745b105787fc7a4d3fedb475a4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:51.802780Z digest=sha256:ffaf63faa55979afadb18ae10d986f56a28b8af3b80452e4f13072132b17a86f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:51.893657Z digest=sha256:448cd21b65bdcae1dee88d7a525674608fc66f03fe749235c9759b132b8f5497

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
unresolved
raw_fallback, observed 2026-08-07T14:46:59.591128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:51.975521Z digest=sha256:deba8cf9ff5b7cf2958c76a641895b71a6766861e074938e449af3108b1e032d

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:52.055620Z digest=sha256:a12ff33031a0f0dfc3f044fbb3307f82b0b9d810c5fc2e009094eb2181f468e0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:52.148940Z digest=sha256:099ca6a051045054c947e3eb82c69a1496d1c724e60029cd4f51e252422e6f80

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
raw_fallback, observed 2026-08-07T14:46:59.322509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:52.245635Z digest=sha256:eeaeaecd3687154e77737f0659d1e679d49a80b4b0ef9ff8cd8ade0f38c122b3

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

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unresolved
raw_fallback, observed 2026-08-07T14:46:58.995043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:52.344305Z digest=sha256:aa11b6343ae02ac6d7a55a42616fb089f6aa2cead93ac79d24a4f1b8ac6f43f0

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
no resolver link, observed 2026-08-07T14:46:52.468861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:52.841328Z digest=sha256:7888906b9120c1647edc2a864ef1564c0ad21020e98ac074946401fa11880276

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:52.951794Z digest=sha256:e72c85a38a44c63c79d1763a54d73934ccbff655bd23dccb3d685858c8704120

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:46:54.355564Z digest=sha256:4291cb2556ff1c08398d235aa202238376cd095bcf47f04b9dd585e199d09834

Pith citing papers

No inbound Pith citation observations are available.