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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:18.488394Z digest=sha256:aa9243b1f44ad83c27ff7129ae94216310e444954deae70ed7a5c17ee81e1160

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 2026-08-08T06:32:00.761636+00:00.

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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

Resolution
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:18.599618Z digest=sha256:1275f35c336fbf7804121d7ea062048220d8793016f314da612bf50857660e57

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

Resolution
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 2026-08-08T06:32:00.761636+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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verified fuzzy
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 2026-08-08T06:32:00.761636+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

Resolution
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raw_fallback, observed 2026-08-06T20:17:33.951823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:18.783689Z digest=sha256:afbd1c8774934a7b89a42c5fe1a8ec1afa3765973ef4675a2112da437c944ddc

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:18.866678Z digest=sha256:ea3dd373f4ebc1afb495cdb34423063d65a8ada63c51243ad7d56093190f7be6

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
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:18.902617Z digest=sha256:4f1631c69deac6e06045cc2708b4d09285fc83a177367448a51a8af652c0578b

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
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.085695Z digest=sha256:c5c59d7858602257e955a14f833d949e2e57dd1b1d57505f00f74ea8f167b782

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.117398Z digest=sha256:8cbc8ce7dd474659c7fe6f1506c111ad850b4965bf4ed3a0348d949aa19f3daf

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
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.192882Z digest=sha256:c25c9f7b5b48038b1b575afe1841d2a395e415bec563c3023fb947c28b5cfd9d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.269019Z digest=sha256:55c82dd3e790d7f5cf17f27efa504bacf89279be6bf70f798267f7a6301dcba0

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
unresolved
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
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.373385Z digest=sha256:de7fbeee2a8edd621dcf4cd0de2a9210bd68f91f1f42d23607b3d0e93da747d1

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

Resolution
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.460299Z digest=sha256:36fff6e570ec3f0008570ee087006f0b5119159d2f8f6058c859de2b1ecd9a7b

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.522035Z digest=sha256:1453f4b6e8c78e149dbb02483e9311b543219d936e06dd560844f33e6437b407

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.589002Z digest=sha256:c90632992d05a44976022fc9011046d37765fc80c5d51fc8f5f1a93549c694dd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.619178Z digest=sha256:380eb081376131b3deb56e6f1d5d91655e2d6978a59955e85fddac2f4ef2d8cd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.680638Z digest=sha256:4074df71daf2de512ff4981ad40b36b54fc0f1e622d817dbb0b309b1e36c64e2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.764593Z digest=sha256:728cc9757b3b9eda1c318b500f78cbfc8f702f1b01f06e022f8f9afbeead5179

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.794256Z digest=sha256:b90197aca84dc5cb5f583426d1997d919c21dbe5a70d0f0500a95ad724ef1ef7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.836797Z digest=sha256:f56e92022482730a4bd2225f80517f2f7cab833e01b61249f74bd78be463c2c1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:19.909337Z digest=sha256:4b3d9911c46dab500d098a7f2d5c5608ed63c8ca47acac6af1a3479e3c3536e3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.006541Z digest=sha256:544db621867107141d7033c59b21ce15735e684be929a8ada22268dd066dd660

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.254391Z digest=sha256:b90513684037aa44b83dbe83338736e1d50a807ddbba38b1e5abe49385cbd6f2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.302268Z digest=sha256:9d0fe4e39a53aa0411070212b7d8727a7423a634b9bbe2d7d7b12b37ff0e69bb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.349715Z digest=sha256:6d6b433cd2c957526a342f4f622328b0f25afa4587ba7de7bed57635dd269349

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.438829Z digest=sha256:dadd10a3638ce9cbebee88041e6991f446d54cb4854f9111fce835a88160bf3f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.512148Z digest=sha256:e3806cb09bab5077044043a0af409356c8920bbb6064d360e3201318bf79390c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.687362Z digest=sha256:fbf77af4014c3918cb0927de419a0cd4b14c5619029e869f6cbe8ffa8fa98355

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.729708Z digest=sha256:41151b1a7b769ac0cfa3b6af0d330bf9b093b54b441fa346f9f83ffa39f896ae

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.813158Z digest=sha256:2558057a65d353626795619a5169bb9ce11bb2e22c6104d25e4e8eaf1f77f49c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.873095Z digest=sha256:94047510b3563c1715394a0305a862af584a91dc79511f65c3d8f1e522f78a4a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.933601Z digest=sha256:15b1fd467a7f3c1a82dc412f266be23720e195fd6df4efeefec24ccc9b7152bd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.019590Z digest=sha256:e6473f3bb8fb67c0dc7391390f8d7e8595a7477d16a8a9340898c49ef5702679

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.132489Z digest=sha256:bb87229e61109a8f8f20dc23901829155cf6daad3b8e0d444296588cf2d0161a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.178765Z digest=sha256:1d9c5b3439e02d46f01bf572e36ef12cedbdf9616f0d025333ca80ce0a0b406e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.255467Z digest=sha256:b84a0792041509a1914c11df941e0fb865045a18384c1208e081b422854aaacb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.314466Z digest=sha256:5248d29cf448a700efb95024ea07c9efbcbec87e84507aa203639dc78f2e366f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.355091Z digest=sha256:d3465ee9a8cacb55c2f112b7f28bc5378e7f45346f48f93b58daf9a1e26d266d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.464659Z digest=sha256:1368b13bd64ffb2ecae4d8b808351d1e2e3c85db70e0b4efc4de6e5fd3a093c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.572055Z digest=sha256:bb2491fb55ef94092970f1053dded48e542e15bb6488f92e4dfd4c8f5e61a36c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.643710Z digest=sha256:07ec2d14c0061c5101ccccddd2869a4186597d022724586db197d31bd16bd478

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.712813Z digest=sha256:287382765bd001d1a6ebae95e9e9949a36cc79880f64956f4c061be104b9b74b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.832852Z digest=sha256:258404ea4051c79e72d56680e58a801c93dd6539e7fe46d5110a70ab18e77718

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:21.904791Z digest=sha256:232d969fa406c3e21829822d3a580e3c253dc484426ac311b0fdd086f471bcc5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.147239Z digest=sha256:81c71e2fd317afc1dbf884873fac6a61869b54bd46d5692051b5b34d83128934

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.351752Z digest=sha256:b063adcda21b1391e95e002546ac4edeaa1448eae98a7774d7cf0e39b5fdb76a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.428529Z digest=sha256:b6354f6580a5b82b9831091ccbcd8892fe9ea78e01da9f416dc3df65f2eccf29

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.510487Z digest=sha256:8c8439c40d0ca073c35ed46b697d6c6375551835a4a6840558244a8221c20922

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.592415Z digest=sha256:39b3c535ef3eac071bb8cedd025f364d03b0fa507b648b1ca1becec771d76baf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.665197Z digest=sha256:b2d0abe7175f608c7dc2198cbede2c2c147327f2bcba51e8fd6969961cc5d789

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.739616Z digest=sha256:051324ac98c020066ee3bfbe37950741e827bc17f204e729ccfa616053512107

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.842295Z digest=sha256:09bc691a79a80a4822866b07c68b1f19e1cb24ac9d659bd8832590fa3b18fa47

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:22.933807Z digest=sha256:8df042280ca01deb6aa3d9f3e2d7fc7da95847fb65fd2725cda978d1e7f7cd96

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.048520Z digest=sha256:69b53a78e1e3913d13314242e14f5fc226a68811b503f153ef53c8e6b0e7f8c6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.133193Z digest=sha256:229ce3bd6acaceb669d0dbce4b70d180eab11a2cd879f04d82a2ba9cc4b8582f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.240753Z digest=sha256:f546162db072db5f821c517ec1e9ea676453b90e37496bbed9f86b81d78224ea

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.365471Z digest=sha256:4f441c76549b6b6ef5d0084a765c5da29e64d44d23a3f9d33847c09eca69517d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.497612Z digest=sha256:8fec0a0bc15ad1ef4967d1f045947d0b6b74fee7a603adf88b57d63115271722

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.598282Z digest=sha256:b2cc35eca44da2c80248dd958a6c911ff7f512feba4955985f1d3211864cd4b4

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.672710Z digest=sha256:6f81363ffa64d33adedc113ede419b64d955ec24e0fd7db0dbf846c52e2236ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.831328Z digest=sha256:df30403e7814fcb353902cd4d1d37e18eb0878cd6f3fe909c45473106a1d0598

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:23.868835Z digest=sha256:9bd2c5b4cbdfd88c681cde044c20c4477799fc7dfb43abefaa43bc9a78864ff9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:24.005840Z digest=sha256:56099d588e36dc67c709a50ea3c2f16211515622e406705d3493cb25559aa050

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:24.065264Z digest=sha256:be7a72cbed65a27df208f58c559909cec69fa62bb5e5a8dbb67e96e78462fc43

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:24.117525Z digest=sha256:5a4a8eb8154b4cd3cbceb0ac815630bdb9e3951a9898070036f063df38452320

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:24.177004Z digest=sha256:4cf54a0eb5d4e920f61c504062b2f8216830973f0e2a664bacc057a7ede0997b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:24.279812Z digest=sha256:ad9af012df58dc23e1e4c3f506ee0fd687e10e460e47e90c48ba16489d226dcf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:17:20.146538Z digest=sha256:b4412a4e9d7a52a04fd6a7db1ef31813c90dbe6e29c3b1341a3f36e0f7b6829e

Pith citing papers

No inbound Pith citation observations are available.