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Paper Citation Record · LEDGER

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection

As of 23 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2504.19598.

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

pith.paper-citation-record.v1
2504.19598 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:45.772547Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:51:27.722427Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T17:51:27.806339Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ad3172f-3040-4265-8715-6a9651fdbe72 · outbound

This paper cites A transformer-based siamese network for change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A transformer-based siamese network for change detection

Reference 1

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 323519ab-95c1-4fc5-ba1e-54bca651c697 · outbound

This paper cites Automatic analysis of the difference image for unsupervised change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Automatic analysis of the difference image for unsupervised change detection

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2ddc83e1-bda4-4329-892b-abb1aaa1f52b · outbound

This paper cites Unsupervised change detection in satellite im- ages using principal component analysis and k-means clus- tering.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Unsupervised change detection in satellite im- ages using principal component analysis and k-means clus- tering

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6488ac26-6b48-4cd6-95bd-58f51957afeb · outbound

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

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A spatial-temporal attention- based method and a new dataset for remote sensing image change detection

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f073ee89-0f4c-4eb4-b3b9-1e94b96716d2 · outbound

This paper cites Remote sensing im- age change detection with transformers.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Remote sensing im- age change detection with transformers

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6e4131b2-6e98-466e-b028-9455cc71dc3a · outbound

This paper cites Dasnet: Dual attentive fully convolutional siamese networks for change detection in high-resolution satellite images.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Dasnet: Dual attentive fully convolutional siamese networks for change detection in high-resolution satellite images

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a3995047-a48b-48d5-8e93-9c8bfd74530f · outbound

This paper cites Fccdn: Feature constraint net- work for vhr image change detection.ISPRS Journal of Pho- togrammetry and Remote Sensing, 187:101–119, 2022.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Fccdn: Feature constraint net- work for vhr image change detection.ISPRS Journal of Pho- togrammetry and Remote Sensing, 187:101–119, 2022

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3297c84f-8b7d-4782-a1ad-5e0b4ba7e925 · outbound

This paper cites A tm tasseled cap equivalent transformation for reflectance factor data.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A tm tasseled cap equivalent transformation for reflectance factor data

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 895a272f-0c93-43ab-b7c9-128e321f3425 · outbound

This paper cites Fully convolutional siamese networks for change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Fully convolutional siamese networks for change detection

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8d8c93d1-70fb-4a47-8a87-eefdaba1ab4d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

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Source-reported events for the cited work

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Observation 799a756e-4c9e-4644-98cd-cd40fc6ddbd9 · outbound

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

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Snunet-cd: A densely connected siamese network for change detection of vhr images

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a0f0a5ee-bff4-4bdc-bc80-2dfb7475efbe · outbound

This paper cites Changer: Feature inter- action is what you need for change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Changer: Feature inter- action is what you need for change detection

Reference 12

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raw_fallback, observed 2026-08-16T05:53:46.899105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b6d42881-5480-4846-a934-d80e5ecfcda0 · outbound

This paper cites Change detection on remote sensing images using dual- branch multilevel intertemporal network.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Change detection on remote sensing images using dual- branch multilevel intertemporal network

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ad6c15ca-fcdf-4b86-bdd8-f0f0ecbbbc43 · outbound

This paper cites Change detection in synthetic aperture radar images based on deep neural networks.IEEE transactions on neural networks and learning systems, 27(1):125–138, 2015.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Change detection in synthetic aperture radar images based on deep neural networks.IEEE transactions on neural networks and learning systems, 27(1):125–138, 2015

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.868420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 11e908ae-c109-47af-a18e-7f4c279878b8 · outbound

This paper cites Deep residual learning for image recognition, 2015.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Deep residual learning for image recognition, 2015

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 16b3fd3a-0fdf-4456-b69d-93c0c66f67ef · outbound

This paper cites Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco An- dreetto, and Hartwig Adam.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco An- dreetto, and Hartwig Adam

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 82182178-107f-4ed5-9e29-1bfd254cd732 · outbound

This paper cites Squeeze-and-excitation net- works.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Squeeze-and-excitation net- works

Reference 17

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Source-reported events for the cited work

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Observation f5aef187-c6d4-4d86-a5d6-71f92bc46383 · outbound

This paper cites Spatiotemporal enhancement and interlevel fusion net- work for remote sensing images change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Spatiotemporal enhancement and interlevel fusion net- work for remote sensing images 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 2026-08-23T06:30:58.430688+00:00.

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Observation c8996db0-5dd4-4862-a587-298f1bbb1584 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Batch normalization: Accelerating deep network training by reducing internal co- variate shift

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6350d10a-028e-4b8b-8734-ac8b4231c461 · outbound

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

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set

Reference 20

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Source-reported events for the cited work

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Observation 3ac917ea-0a51-4648-a0d7-e1a7c64b30e9 · outbound

This paper cites Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ac5b36c6-f977-4f26-8291-cb3f8360daf1 · outbound

This paper cites Segment any- thing.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Segment any- thing

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation da218520-a4bf-4d03-b58b-3a9af9927c3e · outbound

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

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Change detection in remote sensing images using conditional adversarial networks

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b4987726-2b12-4968-817b-09bef8a14646 · outbound

This paper cites A new learn- ing paradigm for foundation model-based remote sensing change detection, 2023.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A new learn- ing paradigm for foundation model-based remote sensing change detection, 2023

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 649ef6a1-7ff0-42eb-adf4-b3f771bc823d · outbound

This paper cites A new learn- ing paradigm for foundation model-based remote-sensing change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A new learn- ing paradigm for foundation model-based remote-sensing 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 2026-08-23T06:30:58.430688+00:00.

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Observation c642e784-c897-46eb-911b-db9625dd545c · outbound

This paper cites Tran- sunetcd: A hybrid transformer network for change detec- tion in optical remote-sensing images.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Tran- sunetcd: A hybrid transformer network for change detec- tion in optical remote-sensing images

Reference 26

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raw_fallback, observed 2026-08-16T05:53:46.469874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 96673784-3b8b-41bd-919c-18fd522de655 · outbound

This paper cites A densely attentive refinement network for change detection based on very-high-resolution bitemporal remote sensing im- ages.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A densely attentive refinement network for change detection based on very-high-resolution bitemporal remote sensing im- ages

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.454245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 96d1bfa9-a424-496f-9531-7eb18345909a · outbound

This paper cites Re- moteclip: A vision language foundation model for remote sensing.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Re- moteclip: A vision language foundation model for remote sensing

Reference 28

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no resolver link, observed 2026-08-16T05:53:45.330473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:45.330473Z digest=sha256:5d47a85d8eb15b4c6e180937c610cf597a8af9634b7926cfa00412e20eaa9fdd

Observation ee0dae15-5023-4ccf-a069-3fc28f4b3d3b · outbound

This paper cites Smnet: symmetric multi-task network for semantic change detection in remote sensing images based on cnn and transformer.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Smnet: symmetric multi-task network for semantic change detection in remote sensing images based on cnn and transformer

Reference 29

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raw_fallback, observed 2026-08-16T05:53:46.428131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 65b2525d-3e35-430a-be2a-1461bfc68f5c · outbound

This paper cites Two at once: Enhancing learning and generalization capacities via ibn-net, 2020.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Two at once: Enhancing learning and generalization capacities via ibn-net, 2020

Reference 30

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raw_fallback, observed 2026-08-16T05:53:46.374011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.404855Z digest=sha256:1286e7a54c63e8c9dee17b71ca1ba4ec1d0b4e30108f2b693a1137b4c9378f0d

Observation 6dc57cd3-540b-4928-bbd9-11eb3dacbbec · outbound

This paper cites End-to- end change detection for high resolution satellite images us- ing improved unet++.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection End-to- end change detection for high resolution satellite images us- ing improved unet++

Reference 31

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raw_fallback, observed 2026-08-16T05:53:46.253206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.438170Z digest=sha256:13fa80c527ef770e021563e121d5545b58c8ba02d9c19032ad0933242c473555

Observation 9ae5f87c-c54c-4f5f-b993-f632fadf911c · outbound

This paper cites A comparison of four algo- rithms for change detection in an urban environment.Remote sensing of environment, 63(2):95–100, 1998.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A comparison of four algo- rithms for change detection in an urban environment.Remote sensing of environment, 63(2):95–100, 1998

Reference 32

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raw_fallback, observed 2026-08-16T05:53:46.142293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d5d100e8-067d-4182-a2a6-2de43da9400f · outbound

This paper cites Multi-temporal scene classification and scene change detection with correlation based fusion.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Multi-temporal scene classification and scene change detection with correlation based fusion

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.126533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.515516Z digest=sha256:aa9ab0e8a279feeac961f695557ed11cfd63993855780083053c2bc474581b0f

Observation 77049e9e-019a-4bec-9b0f-0cab40e8ea15 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks, 2019.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Mobilenetv2: Inverted residuals and linear bottlenecks, 2019

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.109440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.552545Z digest=sha256:63e568301fa861238ec23a3dc9561edcf54b6b748c5e782c723317c5276de315

Observation 23a80446-f147-490e-adca-df65b935ba4c · outbound

This paper cites Sunet: Change detection for heterogeneous remote sensing images 9 from satellite and uav using a dual-channel fully convolution network.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Sunet: Change detection for heterogeneous remote sensing images 9 from satellite and uav using a dual-channel fully convolution network

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.094002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 102f3cc6-8f01-478f-89e9-7d7b9d34b38e · outbound

This paper cites A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.078818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.651402Z digest=sha256:52a35698ccceb8199a94ae1a7b0cda5c32617228a2a989e1fe0cd49005ef57ea

Observation e7e03869-2b6f-4119-a05c-300602c0c934 · outbound

This paper cites Change detection based on artificial intel- ligence: State-of-the-art and challenges.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Change detection based on artificial intel- ligence: State-of-the-art and challenges

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.062998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.690263Z digest=sha256:a8c798a0a04896b475e01ce2308cef5f27574f1aab51a40d3731be4c5d523e45

Observation 75aa105c-2904-41a1-8691-8cf782e23e36 · outbound

This paper cites Review article digital change detection techniques using remotely-sensed data.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Review article digital change detection techniques using remotely-sensed data

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.047502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.725807Z digest=sha256:4c7b8714cc126141bb82c8d9c96212beb32b432d09c1d1abbf726883041d539d

Observation 0b208ceb-7006-4d80-ae95-3c9acae74e22 · outbound

This paper cites Deep high-resolution representation learning for human pose es- timation.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Deep high-resolution representation learning for human pose es- timation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:45.730286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:45.730286Z digest=sha256:f2147929e904956348abdc93418bd40ae7355e93bc5e6cf4d5b0d2fbebdfc426

Observation be0caa82-edb3-4fba-a6d5-868ff433933a · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:45.734738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:45.734738Z digest=sha256:cb522e4d8f90519411dd13f1f8c81b27ddaf5073f5f993dd2ec13904c7d52453

Observation 54aa8968-be6a-4802-af57-2883c184bb3f · outbound

This paper cites Cbam: Convolutional block attention module.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Cbam: Convolutional block attention module

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:45.738957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:45.738957Z digest=sha256:ee7c3b23d23bc52b5fa5d7ae0fa8672cfbd3f4c68ddb9fc450e301e04c5e4c1b

Observation fa100a80-2354-4e95-a738-fcbc9a371889 · outbound

This paper cites Change detection based on deep siamese convolutional network for optical aerial images.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Change detection based on deep siamese convolutional network for optical aerial images

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:46.003137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.742859Z digest=sha256:28004b34da2e8228975daa800ab4d2d81c248790994f2da155992a56a78bd61b

Observation 929b3673-1518-422c-9616-5d76058df72b · outbound

This paper cites Swinsunet: Pure transformer network for remote sensing im- age change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Swinsunet: Pure transformer network for remote sensing im- age change detection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:45.969484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.746788Z digest=sha256:6e9a61c990064d6107e248764e39ac595a2026bbbda204d755b74998a167e9e1

Observation acea9505-1078-4a5a-b7e5-de7f6d7deea5 · outbound

This paper cites Escnet: An end-to-end superpixel-enhanced change detection network for very-high-resolution remote sensing images.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Escnet: An end-to-end superpixel-enhanced change detection network for very-high-resolution remote sensing images

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:45.902963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.750998Z digest=sha256:73ccfd431c08d28b442aa01b02724281f926c16366a40c6cdf405d97638d505b

Observation 4755537b-f8fd-48a0-a32c-71d731c74106 · outbound

This paper cites Relation changes matter: Cross- temporal difference transformer for change detection in re- mote sensing images.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Relation changes matter: Cross- temporal difference transformer for change detection in re- mote sensing images

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:45.886977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.754950Z digest=sha256:f09a56c91fde2a89f17887ebf9432fc7a8a523666ba07d815d21916964a329b5

Observation 3aa87f71-ba68-4909-a9e1-668aa72be484 · outbound

This paper cites Triplet-based semantic relation learning for aerial remote sensing image change detection.IEEE Geo- science and Remote Sensing Letters, 16(2):266–270, 2018.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Triplet-based semantic relation learning for aerial remote sensing image change detection.IEEE Geo- science and Remote Sensing Letters, 16(2):266–270, 2018

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:45.871807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.759431Z digest=sha256:d53f112eaa7be675c410b901c4442f5e9f465693b1d95273c5399dfd6fc1dbdd

Observation 208c7b3e-65c4-4360-9c07-39024f0e94e2 · outbound

This paper cites Change is everywhere: Single-temporal supervised object change detection in remote sensing imagery.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Change is everywhere: Single-temporal supervised object change detection in remote sensing imagery

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:45.858140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.763330Z digest=sha256:7bfa08eeed00c5eb219cf57c92961e8530effc1f8b886608cbc07052ec2d3a92

Observation e0272709-8a40-4cdf-a225-2820eafb58da · outbound

This paper cites A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:45.842897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.767962Z digest=sha256:68fde9953b5f3d99f60c2ee5d45da8864a87a34fa123423a2edb4df681bc25b2

Observation 7799308c-1b8f-4ff9-a6fd-c5c5ffd0126b · outbound

This paper cites A unified deep learning network for remote sensing image reg- istration and change detection.

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection A unified deep learning network for remote sensing image reg- istration and change detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:53:45.827611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:53:45.772547Z digest=sha256:62e24287940fb9d1da9cca9e5a3a36e901ec497476b2b97f4db7ae5c2f72efbe

Pith citing papers

Observation 6d8efd71-8e76-41d0-a5bd-6bd7c9b7aa20 · inbound

L-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification cites this paper.

L-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-15T17:51:27.811509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:51:27.722427Z digest=sha256:06b066d2df8d8a0df00a9d68d41cdb38691adfbeaae86e1785b729c75d3ea9b5