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Paper Citation Record · LEDGER

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices

As of 9 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2507.03367.

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

pith.paper-citation-record.v1
2507.03367 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:17:24.279812Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

76 of 76 outbound references displayed

  • verified exact2
  • verified fuzzy63
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29eda5c2-190f-4355-95fd-f3bb03652bb2 · outbound

This paper cites Remote Sensing Image Change Detection With Transformers,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Remote Sensing Image Change Detection With Transformers,

Reference 1

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raw_fallback, observed 2026-08-06T20:17:34.066195Z

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.

source=pdf_text observed=2026-08-06T20:17:18.488394Z digest=sha256:ef482114edd3286b48cfed2214ba950c42d8a057603cabe5446f71e57fb0c996

Observation 91026093-e3c6-44b7-92e2-0bdaff8a25de · outbound

This paper cites Urban Change Detection for Multispectral Earth Observation Using Convolutional Neu- ral Networks,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Urban Change Detection for Multispectral Earth Observation Using Convolutional Neu- ral Networks,

Reference 2

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raw_fallback, observed 2026-08-06T20:17:34.035679Z

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.

source=pdf_text observed=2026-08-06T20:17:18.552770Z digest=sha256:4ce042ea978e53b9a52e292bf0d3e69385e19559fae5b0f5546f6f7cf53f27f1

Observation 362a1f14-5f83-4e3a-b30b-24dcc7326147 · outbound

This paper cites Segment Any Change,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Segment Any Change,

Reference 3

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raw_fallback, observed 2026-08-06T20:17:34.012090Z

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.

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Observation 2a96e277-2aec-495f-965e-f7678df06570 · outbound

This paper cites Remote Sensing of Land Change: A Multifaceted Perspective,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Remote Sensing of Land Change: A Multifaceted Perspective,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.989232Z

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.

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Observation ebb8b8c5-a2f8-41e1-afc0-2bbd260be82a · outbound

This paper cites Earth Observation and Machine Learning for Climate Change,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Earth Observation and Machine Learning for Climate Change,

Reference 5

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raw_fallback, observed 2026-08-06T20:17:33.969846Z

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.

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Observation 10196c7c-8494-478d-836d-656d411c80ca · outbound

This paper cites Bifa: Remote Sensing Image Change Detection With Bitemporal Feature Alignment,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Bifa: Remote Sensing Image Change Detection With Bitemporal Feature Alignment,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:18.783689Z digest=sha256:155d18a2b23062cbbdfb16dc870c6e5269903748c5eb732150f7cfcb346008bd

Observation b5019eb2-fc3a-46b2-a35d-7f3ab41f895a · outbound

This paper cites DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection,

Reference 7

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raw_fallback, observed 2026-08-06T20:17:33.933333Z

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.

source=pdf_text observed=2026-08-06T20:17:18.866678Z digest=sha256:e9096efb0e24f49c85146c3db5f10686e7f9cfd87531e0b8b1348f084e113722

Observation c861f5a4-0f74-4479-83cd-101fd323c2e0 · outbound

This paper cites A Transformer-Based Siamese Network for Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Transformer-Based Siamese Network for Change Detection,

Reference 8

Resolution
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raw_fallback, observed 2026-08-06T20:17:33.910674Z

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.

source=pdf_text observed=2026-08-06T20:17:18.902617Z digest=sha256:8bddaafabc749859a5e04747160268f0186701d859bd07ce535a9037bfb497bc

Observation 3f503ccd-9af2-44b7-ab8d-47246bcdb77c · outbound

This paper cites Change Detection on Remote Sensing Images Using Dual-Branch Multilevel Intertemporal Network,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Change Detection on Remote Sensing Images Using Dual-Branch Multilevel Intertemporal Network,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:18.937916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:18.937916Z digest=sha256:27deedeb2abfb22bfc6394b6b6c99af85b5c846b7a7cb8b0e2841c0a6f945ae5

Observation 1f89814a-6bdd-486f-a401-a461a483edb4 · outbound

This paper cites Lightweight Remote Sensing Change Detection With Progressive Fea- ture Aggregation and Supervised Attention,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Lightweight Remote Sensing Change Detection With Progressive Fea- ture Aggregation and Supervised Attention,

Reference 10

Resolution
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no resolver link, observed 2026-08-06T20:17:19.000248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:19.000248Z digest=sha256:1e473068ebc7d2cdb720737da8a87721c040d9b4802df3f7ebea94d5d2955b8f

Observation 2c7960b5-0503-4481-83c9-8bda2ac02db0 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.864464Z

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.

source=pdf_text observed=2026-08-06T20:17:19.085695Z digest=sha256:c2f822eda4f2df5b8085aeb070f6857346f9941622dc98f33dd40f524940e36d

Observation 32e5bd48-18df-4826-92c7-06bc634e3aaa · outbound

This paper cites Swin Transformer V2: Scaling up Capacity and Resolution,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Swin Transformer V2: Scaling up Capacity and Resolution,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.846461Z

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.

source=pdf_text observed=2026-08-06T20:17:19.117398Z digest=sha256:6416319be6417c0a248c9a69daa099f26bbe9eac6a2c11a8c87f161524d4b3d4

Observation 2f4e5b37-609d-40cd-b793-f5acfa2e59a8 · outbound

This paper cites A Convnet for the 2020s,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Convnet for the 2020s,

Reference 13

Resolution
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raw_fallback, observed 2026-08-06T20:17:33.828992Z

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.

source=pdf_text observed=2026-08-06T20:17:19.192882Z digest=sha256:580f74bef614a835888aa419a900f55cae013bf11ad4971ff26604340907f51e

Observation b0a1525e-1c8a-496c-b33e-5ba025c1d05e · outbound

This paper cites Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sens- ing Imagery,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sens- ing Imagery,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.809596Z

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.

source=pdf_text observed=2026-08-06T20:17:19.269019Z digest=sha256:7411ddab029f2ca4fc611ccf71951004ec9856d83748b5428ff6cda9c6793b54

Observation a3831bdb-ba99-4182-ad8e-92d29e2db27c · outbound

This paper cites SwinSUNet: Pure Trans- former Network for Remote Sensing Image Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices SwinSUNet: Pure Trans- former Network for Remote Sensing Image Change Detection,

Reference 15

Resolution
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no resolver link, observed 2026-08-06T20:17:19.328026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:19.328026Z digest=sha256:8c54a0bf3cfc7a06d1211e5c1856f919beecf599b29ea319bf9b1d09be9b58dc

Observation b7f0a787-139f-49a9-bed8-ccb8b786a884 · outbound

This paper cites ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model,

Reference 16

Resolution
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raw_fallback, observed 2026-08-06T20:17:33.777409Z

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.

source=pdf_text observed=2026-08-06T20:17:19.373385Z digest=sha256:b3789c153c280d73a9642a6b71b1eb5467580d547492edb92392535557e3090c

Observation bbf55f32-c945-45a9-aeee-74774d60f171 · outbound

This paper cites Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization,

Reference 17

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raw_fallback, observed 2026-08-06T20:17:33.759886Z

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.

source=pdf_text observed=2026-08-06T20:17:19.460299Z digest=sha256:ff98873fd4a9264175177c75e7ff2a6af3c941084c42ee7b54bef42432d66800

Observation ec243995-9ac0-411e-a805-02ff0d6067f7 · outbound

This paper cites In Defense of Pre- Trained Imagenet Architectures for Real-Time Semantic Segmentation of Road-Driving Images,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices In Defense of Pre- Trained Imagenet Architectures for Real-Time Semantic Segmentation of Road-Driving Images,

Reference 18

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raw_fallback, observed 2026-08-06T20:17:33.742876Z

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.

source=pdf_text observed=2026-08-06T20:17:19.522035Z digest=sha256:f8555fd7afb4cbb57b2808caca836e965973c2c4ac6326ce2d4ae59c7c476a70

Observation 58e2db18-4f3d-4ff4-a67a-5bea69344e91 · outbound

This paper cites DINO: DETR With Improved Denoising Anchor Boxes for End-to-End Object Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices DINO: DETR With Improved Denoising Anchor Boxes for End-to-End Object Detection,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.726855Z

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.

source=pdf_text observed=2026-08-06T20:17:19.589002Z digest=sha256:ab9f93cc0262527c8719be7745c5d548c21c2c44e78aaee8d125b0d92c1165d3

Observation 465b93fc-65f4-46f1-8563-78a67e446dab · outbound

This paper cites SuperSimpleNet: Unifying Unsu- pervised and Supervised Learning for Fast and Reliable Surface Defect Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices SuperSimpleNet: Unifying Unsu- pervised and Supervised Learning for Fast and Reliable Surface Defect Detection,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.710605Z

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.

source=pdf_text observed=2026-08-06T20:17:19.619178Z digest=sha256:4fb3b09b514566351fe1738258ddccf6586f00f83ccdf4e848a1f8af42cf91d7

Observation a62ca2ed-6c34-43d7-aa88-51603e460dc5 · outbound

This paper cites Review Article Digital Change Detection Techniques Using Remotely-Sensed Data,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Review Article Digital Change Detection Techniques Using Remotely-Sensed Data,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.693674Z

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.

source=pdf_text observed=2026-08-06T20:17:19.680638Z digest=sha256:20b36cbb9f0110fd05368d1c0dd6492e10fd58a446cdd1d631bc98d086c83a34

Observation 82fff242-b344-4975-bb66-8cea2fe84e0d · outbound

This paper cites Urban Change Detection in SAR Images by Interactive Learning,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Urban Change Detection in SAR Images by Interactive Learning,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.675712Z

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.

source=pdf_text observed=2026-08-06T20:17:19.764593Z digest=sha256:49df9e7735f89b0c4bf54789eef8d421ea01e762baf3c2730f4e6a2f06efd486

Observation 259889c1-583e-4c42-b689-a0c3df7cb668 · outbound

This paper cites Urban Change Forecasting From Satellite Images,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Urban Change Forecasting From Satellite Images,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.648654Z

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.

source=pdf_text observed=2026-08-06T20:17:19.794256Z digest=sha256:e543f6e29a49bfad1f17c8fd77184fe189474e2178dc0e784611a3b62c3c6dc8

Observation a34b160d-78f4-43e4-ae16-50d11f202ad5 · outbound

This paper cites Fully Convolutional Siamese Networks for Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Fully Convolutional Siamese Networks for Change Detection,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.327280Z

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.

source=pdf_text observed=2026-08-06T20:17:19.836797Z digest=sha256:12b2846e3c235da324894d68b97a7c84c7b03543e33804fa6d138a4feebedce1

Observation cc7f1f7c-b43e-4907-8f3a-01ac1e0a28a8 · outbound

This paper cites An Image is Worth 16x16 Words: Trans- formers for Image Recognition at Scale,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices An Image is Worth 16x16 Words: Trans- formers for Image Recognition at Scale,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.039202Z

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.

source=pdf_text observed=2026-08-06T20:17:19.909337Z digest=sha256:1df675366e94add6689eb68737a74a58ff721ea766389be9f00ba6b08822cf6c

Observation 9978a0ed-7cce-415e-b88b-79eb6a259e7c · outbound

This paper cites Mamba: Linear-Time Sequence Modeling With Selective State Spaces,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Mamba: Linear-Time Sequence Modeling With Selective State Spaces,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:32.794868Z

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.

source=pdf_text observed=2026-08-06T20:17:20.006541Z digest=sha256:fc993c8dca01116c0509f2241d9576bb58cb0a8ac5166fbdca86cb3a108bf4f6

Observation cb185998-fac3-4daa-a385-942468e7a5a8 · outbound

This paper cites VMamba: Visual State Space Model,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices VMamba: Visual State Space Model,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:32.282422Z

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.

source=pdf_text observed=2026-08-06T20:17:20.254391Z digest=sha256:a10bbbfd8f800a3ee30741e445486a812a8c02ad82294d25ee1e744d5073c9f9

Observation 1d0af24b-f927-4836-a661-489e472c95a2 · outbound

This paper cites A Spatial-Temporal Attention-Based Method and A New Dataset for Remote Sensing Image Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Spatial-Temporal Attention-Based Method and A New Dataset for Remote Sensing Image Change Detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:32.061873Z

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.

source=pdf_text observed=2026-08-06T20:17:20.302268Z digest=sha256:b61e34de79e8d2cbb16321912daeef30e8ed864bb94019a1d0b9893f8a69c9b7

Observation 390d41e8-88af-48e8-9b41-075d379f0e70 · outbound

This paper cites Remote Sensing Change Detection With Transformers Trained From Scratch,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Remote Sensing Change Detection With Transformers Trained From Scratch,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.774348Z

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.

source=pdf_text observed=2026-08-06T20:17:20.349715Z digest=sha256:5cbd8506b68daac3a7b6abb8178a5f5b2309e59f8d26bdea57e1c1dec18a5de3

Observation c5c18a99-bb7a-47fe-8299-5a14c321a6b2 · outbound

This paper cites Imagenet: a Large-Scale Hierarchical Image Database,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Imagenet: a Large-Scale Hierarchical Image Database,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.629532Z

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.

source=pdf_text observed=2026-08-06T20:17:20.438829Z digest=sha256:bf7de3378891c239394fe55a0add298a654506fda97d26bd8823d8a72c95b904

Observation 7bfe3124-410d-410f-9cd5-fff421ea35af · outbound

This paper cites A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.503582Z

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.

source=pdf_text observed=2026-08-06T20:17:20.512148Z digest=sha256:fc9602a4b386128a71ad2c5df61082be5d59c78e4c19da7d87dd1922dbd4d3bd

Observation 6b09aaa8-053e-449b-9003-49f850832709 · outbound

This paper cites AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:20.572776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:20.572776Z digest=sha256:dc1fb1c07e4d9c5ba9219517e24cd29510c21e38bf0288d04e4e7574d893f887

Observation 97161b58-383b-45fd-b6c9-a0ba03a22cbf · outbound

This paper cites OmniSat: Self-Supervised Modality Fusion for Earth Observa- tion,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices OmniSat: Self-Supervised Modality Fusion for Earth Observa- tion,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.369756Z

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.

source=pdf_text observed=2026-08-06T20:17:20.687362Z digest=sha256:7a0f0cf062ec444b371e098636a9eacab9653a7a047a4ea6cbdfa59a8788c9b3

Observation d596fdf7-d973-401e-b742-c474762a46f9 · outbound

This paper cites Geography-Aware Self-Supervised Learning,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Geography-Aware Self-Supervised Learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.202953Z

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.

source=pdf_text observed=2026-08-06T20:17:20.729708Z digest=sha256:eb72c7bd3cb3eb5a252e94e5300da0a0d46cf145e39111b36bc62cfffd65a6aa

Observation 6d8b2488-ede7-495b-b1dd-fc5479457bdf · outbound

This paper cites Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:31.072265Z

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.

source=pdf_text observed=2026-08-06T20:17:20.813158Z digest=sha256:2aaf38a31a8bac71706c30eacaec011ea75238b7532009809fedf2290f8bb8c1

Observation d8800d4f-69da-47d8-8c3e-405ae9f9a8d7 · outbound

This paper cites Change-Aware Sampling and Contrastive Learning for Satellite Images,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Change-Aware Sampling and Contrastive Learning for Satellite Images,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.895039Z

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.

source=pdf_text observed=2026-08-06T20:17:20.873095Z digest=sha256:7c484bc4d6246189dd843120c30791eb9e83d75d9b5c12318d3348007cf96704

Observation d8596c7f-31af-4e14-b7ea-201523dadb01 · outbound

This paper cites SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.675045Z

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.

source=pdf_text observed=2026-08-06T20:17:20.933601Z digest=sha256:f33af92d21dfa2037af8d21faefd6753f2f05e40b77008bd5d5fdfb67b703261

Observation ed1f8944-7df3-4c93-9d8a-7499b7f56199 · outbound

This paper cites Cross-Scale Mae: A Tale of Multiscale Exploitation in Remote Sensing,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Cross-Scale Mae: A Tale of Multiscale Exploitation in Remote Sensing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.477550Z

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.

source=pdf_text observed=2026-08-06T20:17:21.019590Z digest=sha256:9fbc4f8cddc9537c99907804419b199a3d001f5b033d210c7fbf2a4888ab458b

Observation 70ce51d1-0314-49b3-b3d7-c3519842a1dc · outbound

This paper cites Towards Geospatial Foundation Models via Continual Pretraining,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Towards Geospatial Foundation Models via Continual Pretraining,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.305547Z

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.

source=pdf_text observed=2026-08-06T20:17:21.132489Z digest=sha256:33b40db8ed58ca3d5911f820c92cd3b7758399538821906fa388b89249c3e800

Observation e3266688-2638-4f33-b393-6bf49a175883 · outbound

This paper cites MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:30.111389Z

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.

source=pdf_text observed=2026-08-06T20:17:21.178765Z digest=sha256:ccc2cf614494e4ecb27cce83cbd1ff771db2a573d1d14a713d8cfb15c84df7df

Observation fe16217c-d5fd-45a2-a6b3-e9e3f46dd17f · outbound

This paper cites An Empirical Study of Remote Sensing Pretraining,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices An Empirical Study of Remote Sensing Pretraining,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.897146Z

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.

source=pdf_text observed=2026-08-06T20:17:21.255467Z digest=sha256:ee2524d58e989e4bd70b183bc8d4d009241a8fb31ab3ced9b226efefcf747d0d

Observation cf1abc0e-57b5-4eb6-9de8-742f80dea2c4 · outbound

This paper cites Self-Supervised Pretraining via Multimodality Images With Transformer for Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Self-Supervised Pretraining via Multimodality Images With Transformer for Change Detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.694761Z

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.

source=pdf_text observed=2026-08-06T20:17:21.314466Z digest=sha256:0a0751a5e64c8294c503ed12037339a3a0cc11253c6e80ab052d090ef21d3caa

Observation 419d4bdc-3556-4468-88aa-458464f1576b · outbound

This paper cites Self-Supervised Pre-Training Enhances Change Detection in Sentinel-2 Imagery,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Self-Supervised Pre-Training Enhances Change Detection in Sentinel-2 Imagery,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.535591Z

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.

source=pdf_text observed=2026-08-06T20:17:21.355091Z digest=sha256:5f7c75c016151d558aa31b48431374a77c42d66bc0406942c9de3af3bcf7feb3

Observation 83e1d604-1f57-45f7-94aa-e07e077772e8 · outbound

This paper cites Unified Building Change Detection Pre-Training Method With Masked Semantic Annotations,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unified Building Change Detection Pre-Training Method With Masked Semantic Annotations,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.375558Z

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.

source=pdf_text observed=2026-08-06T20:17:21.464659Z digest=sha256:217251e15f4f84395ff870963ba085aea774c0c5f6a92a9c5a9fbfd4b569aaa7

Observation 64ce69dc-9856-451c-9c5f-50ae278900cc · outbound

This paper cites Scalable Multi- Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Scalable Multi- Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:29.199215Z

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.

source=pdf_text observed=2026-08-06T20:17:21.572055Z digest=sha256:ec095ab256c69aef83919d46e638abd1c187b77af54f6ec25f6bf359a06d5010

Observation add306a0-bce9-4a7e-be5d-604ba1c1e3a0 · outbound

This paper cites Bag of Tricks for Image Classification With Convolutional Neural Networks,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Bag of Tricks for Image Classification With Convolutional Neural Networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.960887Z

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.

source=pdf_text observed=2026-08-06T20:17:21.643710Z digest=sha256:17e239ca95675101255a8f2b815dc84738ccbf89bdac2b1d6adef3fa74d8733b

Observation ff502718-0327-4996-99eb-64c25331d405 · outbound

This paper cites Bag of Tricks for Training Data Extraction From Language Models,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Bag of Tricks for Training Data Extraction From Language Models,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.756779Z

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.

source=pdf_text observed=2026-08-06T20:17:21.712813Z digest=sha256:76d22c6b1e68c56acc5723865602e7df864917cd6f37ad7df89eeb5a2fec33eb

Observation d4e8f0f2-ea63-4334-a699-fe56d92d8e69 · outbound

This paper cites How Effective is Pre-Training of Large Masked Autoencoders for Downstream Earth Observation Tasks?.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices How Effective is Pre-Training of Large Masked Autoencoders for Downstream Earth Observation Tasks?

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.556816Z

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.

source=pdf_text observed=2026-08-06T20:17:21.832852Z digest=sha256:fa6b07e646837024f5dca828f4643788d20cc0711b1bbabf6b98571242249f0e

Observation 1ae449d1-e17e-437c-b5b7-a42d7250ce31 · outbound

This paper cites A Change Detection Reality Check.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Change Detection Reality Check

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:17:24.681552Z

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.

source=pdf_text observed=2026-08-06T20:17:21.904791Z digest=sha256:d3f0d5dd03647aa851af9cfb18ed8b57420576811ae919222e020324b5a4efbc

Observation e1020653-2980-43f0-b3d0-f29c0670fc2a · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Deep Residual Learning for Image Recognition,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:22.032183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:22.032183Z digest=sha256:d55b0dfc2b912fd839c3483e697cdfc31ce72d630bf425d19fb591b79efd9aed

Observation 438194a8-f1d2-4222-b692-fceaadb357ef · outbound

This paper cites Unified Perceptual Parsing for Scene Understanding,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unified Perceptual Parsing for Scene Understanding,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.351233Z

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.

source=pdf_text observed=2026-08-06T20:17:22.147239Z digest=sha256:34b585a428468b76db72203937219fd125b4f22ef68466589182563d3b99ac06

Observation 91d6d05e-d503-4662-a93d-20517748b862 · outbound

This paper cites A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:22.225816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:22.225816Z digest=sha256:d85d8d9a03c8d0bef9d3d5a4ce558f4b8816bb52f19307b0bbbdb924e581b60c

Observation d7c8d7f1-a3da-42e0-9dc6-d97315cccb24 · outbound

This paper cites AFDE-net: Building Change Detection Using Attention-Based Feature Differential Enhancement for Satellite Imagery,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices AFDE-net: Building Change Detection Using Attention-Based Feature Differential Enhancement for Satellite Imagery,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.168176Z

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.

source=pdf_text observed=2026-08-06T20:17:22.351752Z digest=sha256:9c3f309fbc3414ee36d1765c4212b8a71a71841f66d80cc78bf20936e6979ea1

Observation 4db5213f-436a-44c1-9da1-ff4cc11f0848 · outbound

This paper cites Cross-Domain Landslide Mapping From Large-Scale Remote Sensing Images Using Prototype- Guided Domain-Aware Progressive Representation Learning,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Cross-Domain Landslide Mapping From Large-Scale Remote Sensing Images Using Prototype- Guided Domain-Aware Progressive Representation Learning,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.957533Z

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.

source=pdf_text observed=2026-08-06T20:17:22.428529Z digest=sha256:0adcf339d60d768265e7b525f171e8686ca0721c0af112c92294e3f800eed5f7

Observation c4518e57-4142-4d76-8695-1ca940f276e3 · outbound

This paper cites A CNN-Transformer Net- work With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices A CNN-Transformer Net- work With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.763631Z

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.

source=pdf_text observed=2026-08-06T20:17:22.510487Z digest=sha256:09768043eb5d5b27bb1f6366d993b41d86214a9ed4db56e85fc357570cfa3204

Observation b9f90157-6d19-4b36-ae17-06f0b64dcaed · outbound

This paper cites Decoupled Weight Decay Regularization,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Decoupled Weight Decay Regularization,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.585586Z

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.

source=pdf_text observed=2026-08-06T20:17:22.592415Z digest=sha256:614bd24f5bb5576a56fdb90e08dd8b285b6d9c1b8cb7ebf0f241aa15a641537d

Observation d9d7d812-3268-4d2c-82f0-9c46149a7751 · outbound

This paper cites Scene Parsing Through ADE20k Dataset,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Scene Parsing Through ADE20k Dataset,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.383999Z

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.

source=pdf_text observed=2026-08-06T20:17:22.665197Z digest=sha256:0082d5c469bbaeb62203394912c513e1b27a08e4aa240f7c886cda87072f5d22

Observation ce6a932a-0be5-408b-93d5-851872a3e245 · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices The Cityscapes Dataset for Semantic Urban Scene Understanding,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.228930Z

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.

source=pdf_text observed=2026-08-06T20:17:22.739616Z digest=sha256:31e78a0141d66c5acbe127ca37a9a0bc5bc02d0576c68487b34ed216b8c5348d

Observation a5a7095e-c881-4a52-b0cf-fe049fe968e3 · outbound

This paper cites Microsoft Coco: Common Objects in Context,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Microsoft Coco: Common Objects in Context,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.103859Z

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.

source=pdf_text observed=2026-08-06T20:17:22.842295Z digest=sha256:2cf92e2bf40ec94e1dcabf9cdb17fe50e3fba23f569db8ccc60ba808212f7a53

Observation 5eb80905-5de6-4049-824c-52844ed728cd · outbound

This paper cites EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.971036Z

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.

source=pdf_text observed=2026-08-06T20:17:22.933807Z digest=sha256:f4ec17b64ef26fd8f1dd5dcf1bd9047b6d37972a411009863397b841f585d3ac

Observation 8b1e413d-5da1-4288-b25c-bfd08b4f41dd · outbound

This paper cites Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.812090Z

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.

source=pdf_text observed=2026-08-06T20:17:23.048520Z digest=sha256:8f74645cc90fe4f8ea3502a6f4b53d51882c625fd748a67d1311e5e940620bb9

Observation 9c902231-070f-4e26-92f8-d99c3a9ff168 · outbound

This paper cites Position: Mission critical – satellite data is a distinct modality in machine learning,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Position: Mission critical – satellite data is a distinct modality in machine learning,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.643520Z

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.

source=pdf_text observed=2026-08-06T20:17:23.133193Z digest=sha256:56408e8da9b491a8a0aee5427b68d15f0738e6973af6fc24fab55504c24ff8bf

Observation d7a3b2ce-0205-4689-b1c0-59944040dbc7 · outbound

This paper cites SGDR: Stochastic Gradient Descent With Warm Restarts,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices SGDR: Stochastic Gradient Descent With Warm Restarts,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.540802Z

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.

source=pdf_text observed=2026-08-06T20:17:23.240753Z digest=sha256:23aff9ea1427fa8646b96d7d922d15fd79feab70f5cf77da73d1b7fa148d9f88

Observation 74508ad6-994c-4b67-823a-112498eda9d5 · outbound

This paper cites V-Net: Fully Convolutional Neural Networks for V olumetric Medical Image Segmentation,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices V-Net: Fully Convolutional Neural Networks for V olumetric Medical Image Segmentation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.396925Z

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.

source=pdf_text observed=2026-08-06T20:17:23.365471Z digest=sha256:9a575ec4e8e28839d35173118846ad12ed58cb47ce0d4e8b71f2636fdfc5c078

Observation bca8fe49-456d-474f-b3a7-9fdc31cc86b6 · outbound

This paper cites Focal Loss for Dense Object Detection,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Focal Loss for Dense Object Detection,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.233215Z

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.

source=pdf_text observed=2026-08-06T20:17:23.497612Z digest=sha256:cd0335aec77fb6365cdc353407d93bc2539df77491b45cffc30c579564a2fd06

Observation 1f53c12f-426a-4166-8f12-f8735e21d914 · outbound

This paper cites Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.120851Z

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.

source=pdf_text observed=2026-08-06T20:17:23.598282Z digest=sha256:84ab21db2c33b5f4eab959e95c6cb19ace4cccb965d2fcc2ff8be0113545092b

Observation 981efd5d-6932-45dd-bfad-fddf315dc1cf · outbound

This paper cites U-Net: Convolutional Net- works for Biomedical Image Segmentation,.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices U-Net: Convolutional Net- works for Biomedical Image Segmentation,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:25.787018Z

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.

source=pdf_text observed=2026-08-06T20:17:23.779921Z digest=sha256:dc24c7cf544db61f515896e50e12645bf5bf73eba84584cd3d0ba1d1f889030e

Observation a2e88345-90dd-4d6b-b342-ee6e785e5320 · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:25.972038Z

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.

source=pdf_text observed=2026-08-06T20:17:23.672710Z digest=sha256:33c4cf3a548db3cafb25ce5d434579a0587fd56e589bd66bf5ff4c2ed5dbc519

Observation ed8e34f0-ff8a-45d3-9927-1cc9da4932ed · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:25.576250Z

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.

source=pdf_text observed=2026-08-06T20:17:23.831328Z digest=sha256:3dc162754ddb38f112907176e9bd8d54d88a22da36696a8862045d924b85583a

Observation afca2792-4180-45c4-a5ca-653cd552465b · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:25.392602Z

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.

source=pdf_text observed=2026-08-06T20:17:23.868835Z digest=sha256:c551009a6529a8006f42b33cc85d9b53c869d640c3cdc4c26f5370c7c00e64b5

Observation 8dc353a6-d8af-472a-a339-4cb07e6d7d72 · outbound

This paper cites Here, we fur- ther analyize different segmentation tasks – semantic, instance, and panoptic – available for CityScapes [58] and COCO [59].

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Here, we fur- ther analyize different segmentation tasks – semantic, instance, and panoptic – available for CityScapes [58] and COCO [59]

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:25.255433Z

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.

source=pdf_text observed=2026-08-06T20:17:24.005840Z digest=sha256:4dcd7571f76e7292f3cb43c25af7ac82d77c71519d403f939e058ee9e1e6d2ef

Observation be90829d-e11f-49dd-8e6b-797d033e3503 · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 73

Resolution
verified exact
raw_fallback, observed 2026-08-06T20:17:24.512889Z

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.

source=pdf_text observed=2026-08-06T20:17:24.065264Z digest=sha256:953d317fffb71553e0e4f317db729a40ec38b9d2ace9c47ab519dcbbb181c8d2

Observation 8e48a799-76dd-4273-af59-d852c4b51a42 · outbound

This paper cites an unresolved cited work.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:25.141208Z

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.

source=pdf_text observed=2026-08-06T20:17:24.117525Z digest=sha256:b6bfd4094f12cccb7af88f6e985330480664723f1e918df0858b0eb076cf011f

Observation c9ea8fad-4e86-499e-940f-1310732fe01a · outbound

This paper cites GFLOPs are measured using the official PyTorch profiler 5.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices GFLOPs are measured using the official PyTorch profiler 5

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:24.936727Z

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.

source=pdf_text observed=2026-08-06T20:17:24.177004Z digest=sha256:58d53f14b564c680cc243999dd55e19609047b9342016463e9bb802753c83a58

Observation 75136d8d-bd8b-4ac9-93bb-4fca04c55bbe · outbound

This paper cites The FPS is calculated from inference time with the equation: F P S= 1second/inference time.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices The FPS is calculated from inference time with the equation: F P S= 1second/inference time

Reference 76

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T20:17:24.829229Z

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.

source=pdf_text observed=2026-08-06T20:17:24.279812Z digest=sha256:8ff063a2c69216d28a72f48f422f6b64e7a03699b8a52d224ef5c712c7eaa697

Observation 8d5a2de9-ddec-41b2-bbaa-a8c3013a326c · outbound

This paper cites Available: https://openreview.net/forum?id=tEYskw1V Y2.

Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices Available: https://openreview.net/forum?id=tEYskw1V Y2

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:32.522704Z

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.

source=pdf_text observed=2026-08-06T20:17:20.146538Z digest=sha256:404bc23dcbf0342c9f9767d31a332d67476ddfd5df43ce105cf3d8e60de8d4bd

Pith citing papers

No inbound Pith citation observations are available.