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Paper Citation Record · LEDGER

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance

As of 8 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2605.25385.

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

pith.paper-citation-record.v1
2605.25385 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:15:17.959043Z

measured 76 of 76 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

76 of 76 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved74
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

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Outbound references

Observation 2357f722-f1de-4d74-ab44-4f160f99cf04 · outbound

This paper cites What’s the point: Semantic segmentation with point supervision, in: Euro- pean conference on computer vision, Springer.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance What’s the point: Semantic segmentation with point supervision, in: Euro- pean conference on computer vision, Springer

Reference 1

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Observation aa018a14-b792-44d6-bbb7-fc620885ebd4 · outbound

This paper cites Wm-dova maps for accurate polyp highlightingincolonoscopy:Validationvs.saliencymapsfromphysi- cians.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Wm-dova maps for accurate polyp highlightingincolonoscopy:Validationvs.saliencymapsfromphysi- cians

Reference 2

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Observation 5d3011a8-b8c7-45a5-9af6-236f05ab29d8 · outbound

This paper cites Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation

Reference 3

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Observation 93026f46-41a7-4a8d-acf6-093e3f406904 · outbound

This paper cites Sam-cod: Sam-guided unified framework for weakly-supervised camouflaged object detec- tion.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Sam-cod: Sam-guided unified framework for weakly-supervised camouflaged object detec- tion

Reference 4

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Observation dff469cb-d83d-43d3-9f8c-e0e4da2891a4 · outbound

This paper cites an unresolved cited work.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Unresolved cited work

Reference 5

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Observation 1a9b3b32-51fc-4984-8499-bf9aa8f1491c · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence 40, 834– 848.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance IEEE transactions on pattern analysis and machine intelligence 40, 834– 848

Reference 6

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Observation 27dd0547-76c4-4751-bb15-7e98b8ab192f · outbound

This paper cites Diffusion model for camouflaged object detection, in: ECAI 2023.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Diffusion model for camouflaged object detection, in: ECAI 2023

Reference 7

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Observation 4ab1726e-5d8c-4602-a2fd-6ac9755b69c0 · outbound

This paper cites Concealed object detection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Concealed object detection

Reference 8

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Observation adaac2ef-5c63-4924-9b1d-b50ca3e894e9 · outbound

This paper cites Camouflaged object detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Camouflaged object detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 9

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Observation 9443e2a4-1268-4373-86c6-3cddb29a0a1e · outbound

This paper cites Advances in deep concealed scene understanding.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Advances in deep concealed scene understanding

Reference 10

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Observation a7b04bab-43e5-46e8-958e-7b5b98ad5980 · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmen- tation, in: International conference on medical image computing and computer-assisted intervention, Springer.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Pranet: Parallel reverse attention network for polyp segmen- tation, in: International conference on medical image computing and computer-assisted intervention, Springer

Reference 11

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Observation 30823cbe-f130-4be4-9a5b-9612cf41c68e · outbound

This paper cites A robust deep- learning-based detector for real-time tomato plant diseases and pests recognition.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance A robust deep- learning-based detector for real-time tomato plant diseases and pests recognition

Reference 12

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Observation 5eb5f7ce-20df-46ec-b6ea-64c426db4b54 · outbound

This paper cites Weakly supervised video salient object detection via point supervi- sion, in: Proceedings of the 30th ACM International Conference on Multimedia, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Weakly supervised video salient object detection via point supervi- sion, in: Proceedings of the 30th ACM International Conference on Multimedia, pp

Reference 13

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Observation 1ab7a5eb-8626-4884-bb1f-752aad97e572 · outbound

This paper cites Res2net: A new multi-scale backbone architecture.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Res2net: A new multi-scale backbone architecture

Reference 14

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Observation b75e8cec-d129-4f87-b041-2664ca3c6e23 · outbound

This paper cites Weakly-supervised concealed object segmentation with sam- basedpseudolabelingandmulti-scalefeaturegrouping.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Weakly-supervised concealed object segmentation with sam- basedpseudolabelingandmulti-scalefeaturegrouping

Reference 15

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Observation d918620d-7928-4173-b963-7916cbdb4894 · outbound

This paper cites Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects, in: International Conference on Learning Representations.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects, in: International Conference on Learning Representations

Reference 16

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Observation aa1e5721-5345-4080-b4bf-cfa12d5b0a67 · outbound

This paper cites Weakly-supervisedcam- ouflaged object detection with scribble annotations, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Weakly-supervisedcam- ouflaged object detection with scribble annotations, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 17

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Observation da3158ac-cf53-457c-b737-6f248db10948 · outbound

This paper cites Detection of the mobile object with camouflage color under dynamic background based on optical flow.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Detection of the mobile object with camouflage color under dynamic background based on optical flow

Reference 18

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Observation 9f47fcb0-32e6-423a-8269-8bf86b9727f0 · outbound

This paper cites High-resolutioniterativefeedbacknetworkforcamouflaged object detection, in: Proceedings of the AAAI Conference on Artifi- cial Intelligence, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance High-resolutioniterativefeedbacknetworkforcamouflaged object detection, in: Proceedings of the AAAI Conference on Artifi- cial Intelligence, pp

Reference 19

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Observation cb396edc-94d4-4eed-9217-ec2c11100a9a · outbound

This paper cites 5557–5566.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance 5557–5566

Reference 20

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Observation a7ea806a-b49f-4e70-8ff8-1ee24a487aee · outbound

This paper cites Kvasir-seg: A segmented polyp dataset, in: MultiMedia modeling: 26th international conference, MMM2020,Daejeon,SouthKorea,January5–8,2020,proceedings, part II 26, Springer.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Kvasir-seg: A segmented polyp dataset, in: MultiMedia modeling: 26th international conference, MMM2020,Daejeon,SouthKorea,January5–8,2020,proceedings, part II 26, Springer

Reference 21

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Observation e1ba76f4-cb3c-44d5-8ffd-366141009c41 · outbound

This paper cites Deep gradient learning for efficient camouflaged object detection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Deep gradient learning for efficient camouflaged object detection

Reference 22

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Observation 4ee19120-9b72-4297-9d83-015d1317ce01 · outbound

This paper cites segmentanything.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance segmentanything

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Observation 99dc22c6-c6c0-4111-be72-8333493949fb · outbound

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Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Unresolved cited work

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Observation fc0ee096-ed2b-4f1d-989a-1ca56966237a · outbound

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Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Unresolved cited work

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Observation d175731d-424a-4e9c-8d59-cde79ccafc8c · outbound

This paper cites Segment anything,in: Proceedingsof theIEEE/CVFInternational Conference on Computer Vision, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Segment anything,in: Proceedingsof theIEEE/CVFInternational Conference on Computer Vision, pp

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Observation 29a5f397-c1c3-4fae-848e-55488775ee80 · outbound

This paper cites Anabranch network for camouflaged object segmentation.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Anabranch network for camouflaged object segmentation

Reference 27

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Observation 5cbd85c9-3650-40fe-89a5-5a2374e89b56 · outbound

This paper cites Visual saliency detection based on multiscale deep cnn features.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Visual saliency detection based on multiscale deep cnn features

Reference 28

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Observation 4dfeafd3-0522-47fc-a2b2-1eaf14effdfc · outbound

This paper cites Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 29

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Observation fe4e4421-5d33-4fe8-844e-6b8e6d95092c · outbound

This paper cites Tree energy loss: Towards sparsely annotated semantic segmentation, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Tree energy loss: Towards sparsely annotated semantic segmentation, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 30

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Observation 832946e1-5d09-4a2d-8171-f6cfd1e7c1a2 · outbound

This paper cites Searchandrecoverynetworkforcamouflaged object detection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Searchandrecoverynetworkforcamouflaged object detection

Reference 31

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Observation 77f244f2-35a4-4751-8a2e-b818737142ca · outbound

This paper cites Adaptive early-learning correction for segmentation from noisy an- notations,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Adaptive early-learning correction for segmentation from noisy an- notations,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition, pp

Reference 32

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Observation eeb11f57-8aa1-486b-9938-174793e0cb4f · outbound

This paper cites Weaklysupervisedsalientobjectdetection via bounding-box annotation and sam model.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Weaklysupervisedsalientobjectdetection via bounding-box annotation and sam model

Reference 33

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Observation b97dc8bf-1567-4fdf-9699-5659dc61e5d9 · outbound

This paper cites Mscaf-net: A general framework for camouflaged object detection via learning multi-scale context-aware features.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Mscaf-net: A general framework for camouflaged object detection via learning multi-scale context-aware features

Reference 34

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Observation 54164dc2-9a7a-4501-929a-35268e95b746 · outbound

This paper cites Weakly- supervised salient object detection with saliency bounding boxes.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Weakly- supervised salient object detection with saliency bounding boxes

Reference 35

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Observation b0ea661e-cb93-4564-a3fb-25fda1e95403 · outbound

This paper cites Ssfam: Scribble supervised salient object detection family.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Ssfam: Scribble supervised salient object detection family

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Observation 0eca591d-d65c-434b-8a3e-16843b2bf9f5 · outbound

This paper cites Boosting camouflaged object detection with dual-task interactive transformer, in: 2022 26th International Conference on Pattern Recognition (ICPR), IEEE.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Boosting camouflaged object detection with dual-task interactive transformer, in: 2022 26th International Conference on Pattern Recognition (ICPR), IEEE

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Observation 53aa2ef8-4acd-4802-8437-2a9fe8ba06cd · outbound

This paper cites Simultaneously localize, segment and rank the camouflaged objects, in:ProceedingsoftheIEEE/CVFconferenceoncomputervisionand pattern recognition, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Simultaneously localize, segment and rank the camouflaged objects, in:ProceedingsoftheIEEE/CVFconferenceoncomputervisionand pattern recognition, pp

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Observation d3a74518-c951-4624-8b8d-e87e8ec69455 · outbound

This paper cites Distraction-aware camouflaged object segmentation.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Distraction-aware camouflaged object segmentation

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Observation 9f547b63-54b3-4b2a-bd19-f2e6771ebec9 · outbound

This paper cites Studyonthe camouflagedtargetdetectionmethodbasedon3dconvexity.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Studyonthe camouflagedtargetdetectionmethodbasedon3dconvexity

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Observation 19808c06-3b53-4e9d-8bbd-ddee7ad53538 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance IEEE transactions on pattern analysis and machine intelligence

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Observation 1f6dae9d-f917-4715-9f08-7d8a67fc9282 · outbound

This paper cites Medical image segmentation via cascaded attention decoding, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Medical image segmentation via cascaded attention decoding, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp

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Observation d1f15d64-788d-41e9-b849-1ca806433d7d · outbound

This paper cites Ssformer:Alightweighttransformerfor semantic segmentation, in: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), IEEE.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Ssformer:Alightweighttransformerfor semantic segmentation, in: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), IEEE

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Observation b6c4a087-2483-4dcd-8801-fccdfb3a4f81 · outbound

This paper cites A new camouflage texture evaluation method based on wssim and nature image features, in: 2010 Inter- national conference on multimedia technology, IEEE.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance A new camouflage texture evaluation method based on wssim and nature image features, in: 2010 Inter- national conference on multimedia technology, IEEE

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Observation bf4da6ca-406c-4032-b819-e605bec937d1 · outbound

This paper cites Automated polyp detectionincolonoscopyvideosusingshapeandcontextinformation.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Automated polyp detectionincolonoscopyvideosusingshapeandcontextinformation

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Observation f9f5583c-8855-408b-87be-cbaf914e2c3a · outbound

This paper cites Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:89df7a839d1486fe3b20c41bf6eef40a0c582b36e6209e9d06f98f2039ef7fd8

Observation df3efcb8-d0bf-4839-862d-bab48be76601 · outbound

This paper cites an unresolved cited work.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Unresolved cited work

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Observation ae68ec62-8032-4b25-9b72-6db9a000544f · outbound

This paper cites an unresolved cited work.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Unresolved cited work

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:6982c1514afc9c10596dc9e231e842cdf6ae3250df6b1fa1ab1feeb5ab0e14d3

Observation 4ede1410-bca7-4754-8c2e-2fd3d14a7e9d · outbound

This paper cites Weakly supervised salient object detection algorithm based on bounding box annotation.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Weakly supervised salient object detection algorithm based on bounding box annotation

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Observation 6a4897c9-09e9-4d95-a5fa-bfb03fd4c3d8 · outbound

This paper cites Salient object detection in the deep learning era: An in-depth survey.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Salient object detection in the deep learning era: An in-depth survey

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:4e132babf7f9b832206da96847684667bd8b4b6b74f427011d85a897c90bba0b

Observation 6aaca1ec-15ff-4903-a0bb-c78c553cb277 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions, in: Proceedings of the IEEE/CVF international conference on computer vision, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Pyramid vision transformer: A versatile backbone for dense prediction without convolutions, in: Proceedings of the IEEE/CVF international conference on computer vision, pp

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:9da9f006c7f456003e0ff5df65c6c21f4b3048288094e2874095e009970cc059

Observation 3de09102-d3ef-41c2-b580-1548007f110c · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Pvt v2: Improved baselines with pyramid vision transformer

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:7c379e1107b5e719612df3e8d847b1314ad294b6c74c199303b6d9be03ac8675

Observation f26847b3-5039-4db3-be87-6a6c64c0f3ef · outbound

This paper cites Ipnet: Polarization-based camouflaged object detection via dual-flow net- work.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Ipnet: Polarization-based camouflaged object detection via dual-flow net- work

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:4b27b01911f47cb47576b5d6ce55ce0f17a1ddbe1613a44925bb9a04f1b17218

Observation 611faaf1-9bcd-4246-8eb4-a6c3dc9a0ef5 · outbound

This paper cites F 3net:fusion,feedbackandfocus for salient object detection, in: Proceedings of the AAAI conference on artificial intelligence, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance F 3net:fusion,feedbackandfocus for salient object detection, in: Proceedings of the AAAI conference on artificial intelligence, pp

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:e10939d17c0e6f82bb96fffd3498ec3b1372cef659fa58c3736a0536aa06fbdc

Observation a52b8a90-ac5f-4b09-8d5b-2ba2f64cc419 · outbound

This paper cites Cbam: Convolutional block attention module, in: Proceedings of the European conference on computer vision (ECCV), pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Cbam: Convolutional block attention module, in: Proceedings of the European conference on computer vision (ECCV), pp

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Observation a2abac4c-9251-4c56-b7cb-4365f1a4cca6 · outbound

This paper cites Guided multi-scale refinement network for camouflaged object detection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Guided multi-scale refinement network for camouflaged object detection

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:0bdd7f956e8387d7f4adfb988e5d7686b591983f015b3531e5de027aa167baa6

Observation 7ab8716c-d766-4b13-901c-b4ed4d91a160 · outbound

This paper cites Boundary guidancenetworkforcamouflageobjectdetection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Boundary guidancenetworkforcamouflageobjectdetection

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:e5c8bc2fbc0af71abbb9582335cde7b112d42e72c24c736bef053dd1055cdcfc

Observation 35c1445a-db54-4ecd-bde5-c0892b0759ce · outbound

This paper cites Hierarchical saliency detection, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Hierarchical saliency detection, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:62c1ddf898ac8a07ca6b9c5194c18703d3f929d8aa4c5b2ddf00c7b6964bd3bf

Observation 43f0b402-681b-46be-9f0b-45ff05b60725 · outbound

This paper cites Camouflaged object segmentation based on matching–recognition–refinement network.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Camouflaged object segmentation based on matching–recognition–refinement network

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Observation 93f2bfbb-1de0-4f84-afb8-5f11e6a1991a · outbound

This paper cites Saliency detection via graph-based manifold ranking, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Saliency detection via graph-based manifold ranking, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

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Observation 5ba18727-4182-4912-8fd5-b1cf41361097 · outbound

This paper cites an unresolved cited work.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Unresolved cited work

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Observation f50a22ce-ded7-4378-a54a-5cf5e1436795 · outbound

This paper cites 4146–4155.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance 4146–4155

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Observation 8232fe31-671e-46e4-a0ff-ed67b998b2e7 · outbound

This paper cites Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection

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arxiv_id, observed 2026-06-29T23:24:02.120452Z

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:40f44dd00a15c2a8787f4a86f06937fae1993ebdfcd266303706c5f7d2332562

Observation fd9b6fbe-5bea-4d45-870a-6abc6b4699bd · outbound

This paper cites Reverse cross-refinement network for camouflaged object detection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Reverse cross-refinement network for camouflaged object detection

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:ccf82b279374806471f01a58e4b5b743ea62e2891683717cf525f407c163fb9f

Observation 4daac131-0bf9-4510-b445-50aa9b750488 · outbound

This paper cites Camoformer: Masked separable attention for camouflagedobjectdetection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Camoformer: Masked separable attention for camouflagedobjectdetection

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:1b499a0e70e3894910fdcd5cb87bacdfdb0293bfea8f353139f3375e582e9561

Observation 578f1901-5c85-4693-8fe3-481caaacc067 · outbound

This paper cites Structure-consistent weakly supervised salient object detection with local saliency coher- ence, in: Proceedings of the AAAI conference on artificial intelli- gence, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Structure-consistent weakly supervised salient object detection with local saliency coher- ence, in: Proceedings of the AAAI conference on artificial intelli- gence, pp

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Observation 34b4f57b-af7e-4078-85cb-8d942d5855b5 · outbound

This paper cites Exploring deeper! segment anything model with depth perception for camou- flaged object detection, in: Proceedings of the 32nd ACM Interna- tional Conference on Multimedia, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Exploring deeper! segment anything model with depth perception for camou- flaged object detection, in: Proceedings of the 32nd ACM Interna- tional Conference on Multimedia, pp

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:c451994377913f8ac3e793a8a3a4a4fc1be825a12a81d0fdeb6ebc291e524b9d

Observation b7d0d295-eadc-4605-ae25-e4fbc2d56e45 · outbound

This paper cites Dual-constraint coarse-to-fine network for camouflaged object detection.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Dual-constraint coarse-to-fine network for camouflaged object detection

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:445493df70f296d305a240c0fd059b8e318be005f869d4f37d7ad4a2685e5896

Observation 472a519c-095a-45cd-83fd-3c2a49c883d6 · outbound

This paper cites Weakly- supervised salient object detection via scribble annotations, in: Pro- ceedingsoftheIEEE/CVFconferenceoncomputervisionandpattern recognition, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Weakly- supervised salient object detection via scribble annotations, in: Pro- ceedingsoftheIEEE/CVFconferenceoncomputervisionandpattern recognition, pp

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:b82f5568e106c8e177f28f8fed38f8d23c5cdb95b1dd099a9f78aede29534d3d

Observation 26db7c70-0d22-416a-b30f-56eec0abbada · outbound

This paper cites Learning camouflaged object detection from noisy pseudo label, in: European Conference on Computer Vision, Springer.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Learning camouflaged object detection from noisy pseudo label, in: European Conference on Computer Vision, Springer

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Observation 6e2cd9ba-3338-47f2-9218-776c7ade7c43 · outbound

This paper cites Image super-resolutionusingverydeepresidualchannelattentionnetworks, in: Proceedings of the European conference on computer vision (ECCV), pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Image super-resolutionusingverydeepresidualchannelattentionnetworks, in: Proceedings of the European conference on computer vision (ECCV), pp

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source=pdf_text observed=2026-06-29T23:15:17.959043Z digest=sha256:813bf7ec26408a2b0c018f7e580e258eb3c8512b462d8dcf7bbe0ae827c2f3af

Observation 23bf0783-63f8-4bdd-8903-f4b6b3763e8a · outbound

This paper cites an unresolved cited work.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Unresolved cited work

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Observation de17191b-5044-4691-93a1-d0d0331aa711 · outbound

This paper cites IEEEtransactions on image processing 30, 1949–1961.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance IEEEtransactions on image processing 30, 1949–1961

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Observation 85b2586d-ac1f-499b-86cb-7954dbbd1553 · outbound

This paper cites Focusdiffuser: Perceiving local disparities for camouflaged object detection, in: European Conference on Computer Vision, Springer.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Focusdiffuser: Perceiving local disparities for camouflaged object detection, in: European Conference on Computer Vision, Springer

Reference 74

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Observation 00bfb646-3744-4246-9276-751fb98563fe · outbound

This paper cites Bilateral reference for high-resolution dichotomous image segmentation.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Bilateral reference for high-resolution dichotomous image segmentation

Reference 75

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Observation 66c2c21a-0620-4d43-9c0c-cff14bc82d84 · outbound

This paper cites I can find you! boundary-guided separated attention network for camouflaged object detection, in: Proceedings of the AAAI conference on artificial intelligence, pp.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance I can find you! boundary-guided separated attention network for camouflaged object detection, in: Proceedings of the AAAI conference on artificial intelligence, pp

Reference 76

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