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Paper Citation Record · LEDGER

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation

As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2504.14306.

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

pith.paper-citation-record.v1
2504.14306 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:55:14.812626Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

65 of 65 outbound references displayed

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  • unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation badb3ccb-a33a-4981-af6d-fe148ae305c5 · outbound

This paper cites A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges,

Reference 1

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Observation 67464175-1aa8-4af2-bbd4-cbcfc4ebaa4c · outbound

This paper cites An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images,

Reference 2

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Observation 600f853d-0f16-492b-b2ad-f9a9a0ac24e0 · outbound

This paper cites Deep learning-based change detection in remote sensing images: A review,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Deep learning-based change detection in remote sensing images: A review,

Reference 3

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Observation e6d33c0d-43e2-4f75-ba69-ed91b6f2713c · outbound

This paper cites A review of data augmentation methods of remote sensing image target recognition,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A review of data augmentation methods of remote sensing image target recognition,

Reference 4

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Observation d4a840ef-0586-4a95-bd8a-7fe033f2e9bb · outbound

This paper cites Fourier domain structural relationship analysis for unsupervised multimodal change de- tection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Fourier domain structural relationship analysis for unsupervised multimodal change de- tection,

Reference 5

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Observation e7df2b8e-4faa-4417-ac7a-4891bd3fd250 · outbound

This paper cites Self-supervised pre- training via multimodality images with transformer for change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Self-supervised pre- training via multimodality images with transformer for change detection,

Reference 6

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Observation 6e7f6aea-7f00-4587-a89f-81bb8977cc4e · outbound

This paper cites Ssl4eo-s12: A large-scale multimodal, multi- temporal dataset for self-supervised learning in earth observa- tion [software and data sets],.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ssl4eo-s12: A large-scale multimodal, multi- temporal dataset for self-supervised learning in earth observa- tion [software and data sets],

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 46227682-796c-45e6-a67f-136095c07865 · outbound

This paper cites Exploring fine- grained image-text alignment for referring remote sensing image segmentation,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Exploring fine- grained image-text alignment for referring remote sensing image segmentation,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 06d924c6-18d6-46ff-97ec-a833ef1d797f · outbound

This paper cites Ss-mae: Spa- tial–spectral masked autoencoder for multisource remote sens- ing image classification,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ss-mae: Spa- tial–spectral masked autoencoder for multisource remote sens- ing image classification,

Reference 9

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Source-reported events for the cited work

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Observation 17603593-6421-45d7-985b-28105f1013be · outbound

This paper cites Snunet-cd: A densely connected siamese network for change detection of vhr images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Snunet-cd: A densely connected siamese network for change detection of vhr images,

Reference 10

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Source-reported events for the cited work

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Observation 413ddbae-21c8-4957-9990-62f087da75c9 · outbound

This paper cites A feature difference convolutional neural network-based change detection method,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A feature difference convolutional neural network-based change detection method,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation abdf57f3-c259-4b1a-bad5-09474cc51979 · outbound

This paper cites An attention- based multiscale transformer network for remote sensing image change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation An attention- based multiscale transformer network for remote sensing image change detection,

Reference 12

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Source-reported events for the cited work

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Observation 34294095-8f81-4526-bcb6-18d7191e1b45 · outbound

This paper cites A full-level fused cross-task transfer learning method for building change detection using noise- robust pretrained networks on crowdsourced labels,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A full-level fused cross-task transfer learning method for building change detection using noise- robust pretrained networks on crowdsourced labels,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fb00f7de-9af8-4bef-84e6-86e3d8178219 · outbound

This paper cites Sea ice change detection in sar images based on convolutional-wavelet neural networks,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Sea ice change detection in sar images based on convolutional-wavelet neural networks,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0774c434-585e-4079-add4-3a530fe559be · outbound

This paper cites Remote sensing image change detection with transformers,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Remote sensing image change detection with transformers,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a720e61-4297-4149-ab78-42a50aa5a591 · outbound

This paper cites Dam- net: Flood detection from sar imagery using differential atten- tion metric-based vision transformers,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Dam- net: Flood detection from sar imagery using differential atten- tion metric-based vision transformers,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8831ff54-5bb5-4f91-bddd-740ea5889951 · outbound

This paper cites Global and local attention-based transformer for hyperspectral image change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Global and local attention-based transformer for hyperspectral image change detection,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0a523906-3341-4f6b-9d43-8fbfed84213e · outbound

This paper cites Ida-siamnet: Interactive-and dynamic-aware siamese network for building change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ida-siamnet: Interactive-and dynamic-aware siamese network for building change detection,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ebb2857e-5d14-4fe9-bd70-74c80150de9e · outbound

This paper cites A novel remote sensing image change detection approach based on multi-level state space model,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A novel remote sensing image change detection approach based on multi-level state space model,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9197c346-a141-408f-ba58-ba2c5ca0e730 · outbound

This paper cites Change- mamba: Remote sensing change detection with spatio-temporal state space model,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Change- mamba: Remote sensing change detection with spatio-temporal state space model,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 106f02fb-c9f0-440c-a9f7-562c3a10166d · outbound

This paper cites CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 21

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Source-reported events for the cited work

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Observation a5ac0235-6c9d-4e58-b231-ff5dcf497110 · outbound

This paper cites Unifying remote sensing change detection via deep probabilistic change models: From principles, models to applications,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Unifying remote sensing change detection via deep probabilistic change models: From principles, models to applications,

Reference 22

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Source-reported events for the cited work

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Observation 48c0a13b-e447-4850-841e-9faec10fd129 · outbound

This paper cites A Mamba-based Siamese Network for Remote Sensing Change Detection.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A Mamba-based Siamese Network for Remote Sensing Change Detection

Reference 23

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f43eab4e-3c7b-4d73-a202-708b480f610c · outbound

This paper cites Dc- mamba: A novel network for enhanced remote sensing change detection in difficult cases,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Dc- mamba: A novel network for enhanced remote sensing change detection in difficult cases,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 95686c85-fb67-4f47-a0a7-07995d993859 · outbound

This paper cites A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,

Reference 25

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 4b42afe1-8936-4c51-8ce9-763b7800765d · outbound

This paper cites Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3942eb57-1d5d-448a-83fa-37eb76e8b4be · outbound

This paper cites Change detection in remote sensing images using conditional adversarial networks,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Change detection in remote sensing images using conditional adversarial networks,

Reference 27

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 23e6637d-1c60-4f7a-937b-980a72a06d3c · outbound

This paper cites Loftr: Detector-free local feature matching with transformers,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Loftr: Detector-free local feature matching with transformers,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.778878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b820c09b-8853-48d2-8eef-f49817915cec · outbound

This paper cites Superglue: Learning feature matching with graph neural net- works,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Superglue: Learning feature matching with graph neural net- works,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.753803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2775d8c8-ef15-4f56-b851-a8be1472d1e2 · outbound

This paper cites Lightglue: Local feature matching at light speed,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Lightglue: Local feature matching at light speed,

Reference 30

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 5f81e6cf-cc5f-4b58-924f-3016ef4f1ba4 · outbound

This paper cites Dkm: Dense kernelized feature matching for geometry esti- mation,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Dkm: Dense kernelized feature matching for geometry esti- mation,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.709053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9c87d180-5904-4c67-944f-f65ee063c1bb · outbound

This paper cites Toward distortion- aware change detection in realistic scenarios,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Toward distortion- aware change detection in realistic scenarios,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a7434597-019c-4e9b-8fe5-54c2c1e48bf2 · outbound

This paper cites Segment anything,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Segment anything,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.660912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.587477Z digest=sha256:7faeface82566c7a258c07f620f9919fef2bd838d57fa47d4f3e4050cc4f392c

Observation bf634c7d-fd45-4083-8ae1-e1cc216913ad · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Learning transferable visual models from natural language supervision,

Reference 34

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unresolved
no resolver link, observed 2026-08-16T11:55:14.593311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.593311Z digest=sha256:a2a44212b26c13281c5a0981155d168701c377905bcd360d1ab4c5749560c8a1

Observation 476f5841-2770-49cb-b839-f2cc098f4a2a · outbound

This paper cites Transformer-based multistage enhancement for remote sensing image super-resolution,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Transformer-based multistage enhancement for remote sensing image super-resolution,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.625770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.599893Z digest=sha256:e556149cea08d4ae6bf5292c842c345faa98e0c135a4bbb1e2d34b7f7834c41b

Observation 2d436fa6-38b4-4cd9-9657-0fd36878c919 · outbound

This paper cites Spectralgpt: Spectral remote sensing foundation model,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Spectralgpt: Spectral remote sensing foundation model,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.602500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.606506Z digest=sha256:ec106751b4079d9d81766e5b5caae9fd02c4c25de72d0c856c6d1af37d28a804

Observation 7798bc3f-06e7-42e1-8135-3128617abd5c · outbound

This paper cites PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:14.612309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.612309Z digest=sha256:3eb8494d0b1db130dc2a05877d75f6eeea49f20fcf7ae03fd6b39c214d779efb

Observation f32f15d1-8372-49b0-81a8-4fc68b8b3993 · outbound

This paper cites Sam-assisted remote sensing imagery semantic segmentation with object and boundary constraints,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Sam-assisted remote sensing imagery semantic segmentation with object and boundary constraints,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.580718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.619265Z digest=sha256:0a71b79bd6b43cef356187f774ed63fb7e4a258ee5300886b6b08c27601afd0d

Observation 06e5c026-ac64-4739-a3a6-95e46e129f45 · outbound

This paper cites Rsprompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Rsprompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.562347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.625288Z digest=sha256:8bf88c86af4b1946b85661e2ad0e10763d618e07888ad1dfb5290b2a28eb18bd

Observation 323c7ee0-c260-4557-9e7a-837bfe612af7 · outbound

This paper cites Ringmo: A remote sensing foundation model with masked image modeling,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ringmo: A remote sensing foundation model with masked image modeling,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.541847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.631353Z digest=sha256:389cdd1d2beda15a2bac9d7ce34e9aa9f599d75ed7bdd5b7dcccf277b2c660cb

Observation 631814a3-0d6d-410d-a9a1-abeb80cdcfb5 · outbound

This paper cites Changeclip: Remote sensing change detection with multimodal vision-language rep- resentation learning,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Changeclip: Remote sensing change detection with multimodal vision-language rep- resentation learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.518454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.636281Z digest=sha256:85243a2fcad710053d2f1e0e2ae18cd2efc2a83d604659b5452982c2dd0c10e3

Observation 0f6c5d7b-ed59-48c0-8953-38fa0268327b · outbound

This paper cites Geochat: Grounded large vision-language model for remote sensing,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Geochat: Grounded large vision-language model for remote sensing,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.495630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.643041Z digest=sha256:67a77b8747ebf815a4ce7fbf054b603efe292b1e163514b9d8831ff2d4974b2e

Observation 396b94a1-84eb-47e8-9b6d-936cf010602a · outbound

This paper cites Distinctive image features from scale-invariant keypoints,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Distinctive image features from scale-invariant keypoints,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.471509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.648689Z digest=sha256:1af6d6727278c8585ed57202895f79a112678c520a27dc0a7dc31e16abb23dd1

Observation 747dd732-9af0-4b52-88e9-c7788ecf1c41 · outbound

This paper cites Superpoint: Self-supervised interest point detection and description,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Superpoint: Self-supervised interest point detection and description,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.451596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.656740Z digest=sha256:f85fdc1167e618153fb31d74f92225d12c1fdd1b33e5d666ebaebbc5ac30c401

Observation 20acace2-b3a9-4be7-856c-cb7f9d023282 · outbound

This paper cites Gim: Learning generalizable image matcher from internet videos,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Gim: Learning generalizable image matcher from internet videos,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.425086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.663892Z digest=sha256:baf013b450e38806afca4a127bac145f7dbbd93befb21b73d06aed04ab43f2c4

Observation 4d6fdc83-8121-40a9-9025-3886238ee7d3 · outbound

This paper cites Geo- metric and non-linear radiometric distortion robust multimodal image matching via exploiting deep feature maps,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Geo- metric and non-linear radiometric distortion robust multimodal image matching via exploiting deep feature maps,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.397178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.676902Z digest=sha256:dbf0080c856a0712732f68c8a7d8cfd02f477e1c07ab5714b48b1717eaf1ac8a

Observation 1a285692-81d5-4ae5-8686-671b1d8024a9 · outbound

This paper cites Robust matching for sar and optical images using multiscale convolutional gra- dient features,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Robust matching for sar and optical images using multiscale convolutional gra- dient features,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.372034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.686692Z digest=sha256:c7fc7e47e4f67f64e2431df6910c12a6d7083136e3fa7efb8f415bb007f227c5

Observation c83511e7-ec76-421b-8e83-e8b4308500e8 · outbound

This paper cites R&D-Net: Integration of registration-net and detection-net for identifying building changes in high spatial- resolution remote sensing images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation R&D-Net: Integration of registration-net and detection-net for identifying building changes in high spatial- resolution remote sensing images,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.351687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.692776Z digest=sha256:f42dc405e5de333a6a65d7f0f7571196a0dfd374840135786368ca1784dfed9e

Observation 2df960ef-18ba-4c52-a763-242f9ee6bb7d · outbound

This paper cites A unified deep learning network for remote sensing image registration and change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A unified deep learning network for remote sensing image registration and change detection,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.333203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.699321Z digest=sha256:0ebc61def9ed839ee061cb47f40425cfcb599d192321cd588049bbcd74d0651e

Observation 0d4ca3af-e694-4e76-8c54-c56146ff5240 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Momentum contrast for unsupervised visual representation learning,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.312953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.704880Z digest=sha256:c51795e5c696f4546799df57e029f168f560f05d18a6a8cbd03f200a72fe263e

Observation 304a6600-8185-4b32-962f-f9a8c2904b91 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A simple framework for contrastive learning of visual representations,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:14.714242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.714242Z digest=sha256:d667148c8df0aace43e739a6f40e24338ed6fd6740e68519ac5bd2844e9da3e7

Observation 3e4bef30-9265-4687-98f4-afdede14b534 · outbound

This paper cites Exploring simple siamese representation learning,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Exploring simple siamese representation learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.275472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.722119Z digest=sha256:005f893d4bec1a3e0fb347b5be5934a4bf9f3353d07b119100b233c15379744b

Observation 75a35db1-3f0d-4b67-97f3-6f27859a36bd · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Masked autoencoders are scalable vision learners,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.254416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.728352Z digest=sha256:1ffdab6dfd4042f19ff9015a9efa515a32f8fc5eda95767dad6ddbf58c076902

Observation 438bfd6b-ac0f-4d38-ba34-44227154c18d · outbound

This paper cites Self-supervised global–local contrastive learning for fine- grained change detection in vhr images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Self-supervised global–local contrastive learning for fine- grained change detection in vhr images,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.226949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.736796Z digest=sha256:2e7c5bd1877215420d4d9122814b760e2908c80e8357ae7e9cb089069da70910

Observation 9e66ef87-ddcf-4aad-b079-35c76ea1ccf2 · outbound

This paper cites Sslchange: A self-supervised change detection framework based on domain adaptation,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Sslchange: A self-supervised change detection framework based on domain adaptation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.201371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.742908Z digest=sha256:58a23fdab8e1b90368aad8fd20715b7b5c07a7dbade0c323c0c8cc3028f13e61

Observation 94270261-8fec-4fcd-bdf1-55dee4176f2e · outbound

This paper cites Coud: Continual urbanization detector for time series building change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Coud: Continual urbanization detector for time series building change detection,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.180812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.749086Z digest=sha256:0fc1d9047491308f0df8dddc9dd164a42e7255876cf2938d61a344a11547a074

Observation 7eb9ab62-4756-461b-9b18-d5a10a0bf060 · outbound

This paper cites Fast Segment Anything.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Fast Segment Anything

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:14.755191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.755191Z digest=sha256:14f2cc2d7963eb881d454709474ac6599ce7f4321e070dd61816815340122a38

Observation 22d344a4-4eb6-4077-8e64-43f90d4396bc · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Emerging properties in self-supervised vision transformers,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.153381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.761683Z digest=sha256:bf53bc3b0bb4f5df4049a0b6470bf05dd1128b42a688ed55dd80e989c6956eba

Observation 1e477ae9-66e6-4634-bf04-22755a3b297b · outbound

This paper cites A computer algorithm for reconstruct- ing a scene from two projections,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation A computer algorithm for reconstruct- ing a scene from two projections,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.125884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.767642Z digest=sha256:f96fd883fb48c5ee8805998832d58a89501e2e43d14a4238f7e9c3151fe7e41c

Observation b2bf909a-e298-49b0-922f-46e58b6f1b9a · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:14.773510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:14.773510Z digest=sha256:dcd72c48d297f448e027f793b00a9a6e1a559f1d7d9ed1e715b9c6897dfe7d6e

Observation e92894e8-bf6c-4f45-a7e4-652de33cfc27 · outbound

This paper cites Aid: A benchmark data set for performance evaluation of aerial scene classification,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Aid: A benchmark data set for performance evaluation of aerial scene classification,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.079694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.778415Z digest=sha256:b8f089210023d49bc2f1193ace8359bd006a9a1862e9a29f34e214596a20f167

Observation 7d95a0b9-61b2-492c-bb13-6aaf478c4450 · outbound

This paper cites Bag-of-visual-words and spatial extensions for land-use classification,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Bag-of-visual-words and spatial extensions for land-use classification,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.055381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.783304Z digest=sha256:dc1638888522ba382bf3f335f473d436f72c1b3c4015cee500e663be3f2710c5

Observation 56832cdc-9292-4769-9d44-c54ca6065907 · outbound

This paper cites Fully convolutional siamese networks for change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Fully convolutional siamese networks for change detection,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:15.025511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.794110Z digest=sha256:77e11e05a37a58aabb9da222da3674497d921511b166f6ab12d7a20f2129fff5

Observation 92e28585-5222-4c50-be3b-dba4b26298e8 · outbound

This paper cites Ultralightweight spatial–spectral feature cooperation network for change detection in remote sensing images,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Ultralightweight spatial–spectral feature cooperation network for change detection in remote sensing images,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:14.996468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.804380Z digest=sha256:2365b8d4b12fea2330290a0d0e4b843897fff945a44bb706bd2022b66d23cb4c

Observation 7d5ed54b-eaa1-4461-869c-ebcd7ef0aeb3 · outbound

This paper cites Spatiotemporal enhance- ment and interlevel fusion network for remote sensing images change detection,.

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation Spatiotemporal enhance- ment and interlevel fusion network for remote sensing images change detection,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:55:14.972205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:55:14.812626Z digest=sha256:073782e883eb2f6141f4ec10e042ef1a625a5c5fbc32564be5e394d7722e0047

Pith citing papers

No inbound Pith citation observations are available.