Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes | Paper Citation Record

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This paper cites Frequency-tuned salient region detec- tion.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Frequency-tuned salient region detec- tion

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This paper cites Sam-adapter: Adapting segment any- thing in underperformed scenes.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Sam-adapter: Adapting segment any- thing in underperformed scenes

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This paper cites SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

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This paper cites Camodiffusion: Camouflaged object detection via conditional diffusion mod- els.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Camodiffusion: Camouflaged object detection via conditional diffusion mod- els

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This paper cites Mitra, Xiaolei Huang, Philip H.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Mitra, Xiaolei Huang, Philip H

Reference 5

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This paper cites Imagenet: A large-scale hierarchical image database.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Imagenet: A large-scale hierarchical image database

Reference 6

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This paper cites R3net: Recurrent residual refinement network for saliency detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes R3net: Recurrent residual refinement network for saliency detection

Reference 7

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This paper cites Structure-measure: A new way to evaluate foreground maps.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Structure-measure: A new way to evaluate foreground maps

Reference 8

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This paper cites Salient objects in clut- ter: Bringing salient object detection to the foreground.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Salient objects in clut- ter: Bringing salient object detection to the foreground

Reference 9

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This paper cites Enhanced-alignment measure for binary foreground map evaluation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Enhanced-alignment measure for binary foreground map evaluation

Reference 10

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This paper cites Camouflaged object detec- tion.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Camouflaged object detec- tion

Reference 11

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This paper cites Concealed object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Concealed object detection

Reference 12

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This paper cites Advances in deep concealed scene understanding.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Advances in deep concealed scene understanding

Reference 13

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This paper cites Densely nested top-down flows for salient object detection.Science China Information Sciences, 65(8):182103, 2022.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Densely nested top-down flows for salient object detection.Science China Information Sciences, 65(8):182103, 2022

Reference 14

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This paper cites Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection

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Observation 79f90d2d-26d2-4cb8-b5a1-7f3b628b9155 · outbound

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

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Res2net: A new multi-scale backbone architecture

Reference 16

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This paper cites Camouflaged object detection with feature decomposition and edge reconstruc- tion.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Camouflaged object detection with feature decomposition and edge reconstruc- tion

Reference 17

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This paper cites Strategic preys make acute predators: Enhancing cam- ouflaged object detectors by generating camouflaged objects.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Strategic preys make acute predators: Enhancing cam- ouflaged object detectors by generating camouflaged objects

Reference 18

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This paper cites Deep residual learning for image recognition.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Deep residual learning for image recognition

Reference 19

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This paper cites Deeply supervised salient object detection with short connections.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Deeply supervised salient object detection with short connections

Reference 20

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This paper cites Efficient camouflaged object detection network based on global localization perception and local guidance refinement.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Efficient camouflaged object detection network based on global localization perception and local guidance refinement

Reference 21

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This paper cites ISAT with Segment Anything: An Interactive Semi-Automatic Annotation Tool,.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes ISAT with Segment Anything: An Interactive Semi-Automatic Annotation Tool,

Reference 22

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Observation 76d3f72c-7d13-4004-a9ce-9cdd77161b15 · outbound

This paper cites Segment any- thing.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Segment any- thing

Reference 23

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This paper cites Anabranch network for camouflaged object segmentation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Anabranch network for camouflaged object segmentation

Reference 24

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Observation 8e43ed0b-2d4e-4e51-aa0e-596a76cb3664 · outbound

This paper cites Uncertainty-aware joint salient object and camouflaged object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Uncertainty-aware joint salient object and camouflaged object detection

Reference 25

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Observation 7f45a1dd-d7e8-47b1-8a65-142dbf6ea9ba · outbound

This paper cites Size- invariance matters: Rethinking metrics and losses for imbal- anced multi-object salient object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Size- invariance matters: Rethinking metrics and losses for imbal- anced multi-object salient object detection

Reference 26

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This paper cites Visual saliency based on multi- scale deep features.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Visual saliency based on multi- scale deep features

Reference 27

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This paper cites The secrets of salient object segmentation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes The secrets of salient object segmentation

Reference 28

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This paper cites Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment

Reference 29

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This paper cites A metaheuristic- based approach to optimizing color design for military cam- ouflage using particle swarm optimization.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes A metaheuristic- based approach to optimizing color design for military cam- ouflage using particle swarm optimization

Reference 30

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This paper cites Focal loss for dense object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Focal loss for dense object detection

Reference 31

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This paper cites Scale-aware modulation meet transformer.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Scale-aware modulation meet transformer

Reference 32

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This paper cites Dhsnet: Deep hierarchical saliency network for salient object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Dhsnet: Deep hierarchical saliency network for salient object detection

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This paper cites Picanet: Learning pixel-wise contextual attention for saliency detec- tion.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Picanet: Learning pixel-wise contextual attention for saliency detec- tion

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Observation 793e1ac9-45a7-4ff4-8a41-5f5990229e76 · outbound

This paper cites Visual saliency transformer.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Visual saliency transformer

Reference 35

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This paper cites Learning to detect a salient object.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Learning to detect a salient object

Reference 36

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Observation 662a76b7-a9c3-4fa8-a68c-3f9076a06d6e · outbound

This paper cites Explicit visual prompting for low-level structure segmenta- tions.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Explicit visual prompting for low-level structure segmenta- tions

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Swin transformer: Hierarchical vision transformer using shifted windows

Reference 38

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This paper cites Fully convolutional networks for semantic segmentation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Fully convolutional networks for semantic segmentation

Reference 39

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Observation fd7891b3-0d3b-4e5f-8b08-47e561e40c79 · outbound

This paper cites Vscode: General visual salient and camouflaged object de- tection with 2d prompt learning.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Vscode: General visual salient and camouflaged object de- tection with 2d prompt learning

Reference 40

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Observation a6a551d1-c7f6-48b7-8768-492bdafdc199 · outbound

This paper cites Simultaneously localize, segment and rank the camouflaged objects.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Simultaneously localize, segment and rank the camouflaged objects

Reference 41

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This paper cites Segment anything in medical images.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Segment anything in medical images

Reference 42

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Observation 802f8926-6bf1-403d-97fe-05db3a26ffd6 · outbound

This paper cites How to evaluate foreground maps? In CVPR, pages 248–255, 2014.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes How to evaluate foreground maps? In CVPR, pages 248–255, 2014

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:37.286855Z

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Observation bdc1b010-dfa2-4560-9b17-c9459e426a27 · outbound

This paper cites Camouflaged object segmentation with distraction mining.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Camouflaged object segmentation with distraction mining

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:37.250515Z

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Observation 4d0d388d-60e3-495c-8ac1-629d516f7529 · outbound

This paper cites Design and perceptual validation of performance measures for salient object seg- mentation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Design and perceptual validation of performance measures for salient object seg- mentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:37.223928Z

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This paper cites Multi-scale interactive network for salient object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Multi-scale interactive network for salient object detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:37.199427Z

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Observation a8ac94ae-d4d6-47c3-8dd1-63e217545a96 · outbound

This paper cites Zoom in and out: A mixed-scale triplet network for camouflaged object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Zoom in and out: A mixed-scale triplet network for camouflaged object detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:37.177880Z

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Observation a1c8beeb-bc90-4fcf-a9c3-8584877cd46f · outbound

This paper cites Osformer: One-stage camouflaged instance segmentation with transformers.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Osformer: One-stage camouflaged instance segmentation with transformers

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:37.142472Z

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Observation 4a5f45e2-eaa8-4d42-9d8f-94c4eab4acda · outbound

This paper cites Transformer-based efficient salient instance segmentation networks with orientative query.IEEE TMM, 25:1964–1978,.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Transformer-based efficient salient instance segmentation networks with orientative query.IEEE TMM, 25:1964–1978,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:37.012181Z

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Observation 16cb4e2f-648a-4b6d-9eff-eca7c787cae3 · outbound

This paper cites Calibnet: Dual- branch cross-modal calibration for rgb-d salient instance seg- mentation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Calibnet: Dual- branch cross-modal calibration for rgb-d salient instance seg- mentation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.894078Z

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Observation ac33b6ec-b07f-43b3-91c2-1d4ad628422c · outbound

This paper cites Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:33:32.056439Z

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Observation 7684b8cd-8e47-4042-a687-7810c25afe09 · outbound

This paper cites Synergistic bleeding region and point detection in laparoscopic surgical videos.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Synergistic bleeding region and point detection in laparoscopic surgical videos

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This paper cites U-shape trans- former for underwater image enhancement.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes U-shape trans- former for underwater image enhancement

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.754602Z

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Observation 9379c905-4981-441e-bbfb-9c21d8d3949c · outbound

This paper cites Saliency filters: Contrast based filtering for salient region detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Saliency filters: Contrast based filtering for salient region detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.685432Z

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Observation 7b53b181-1efc-471c-9d4c-2ef5f78337b7 · outbound

This paper cites Depth-induced multi-scale recurrent attention network for saliency detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Depth-induced multi-scale recurrent attention network for saliency detection

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.664867Z

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Observation 117a6f36-e742-4a03-ac71-edd6a086b43f · outbound

This paper cites The attention system of the human brain.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes The attention system of the human brain

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.640093Z

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Observation 430a3a25-2dc0-4eb6-9645-3e25dd27a605 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Learn- ing transferable visual models from natural language super- vision

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.608450Z

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Observation e3722ac9-21b4-48bc-bd73-9209cd966f8f · outbound

This paper cites Sam 2: Seg- ment anything in images and videos.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Sam 2: Seg- ment anything in images and videos

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.580593Z

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Observation 35487782-b15c-4416-9a7f-2f46a6663f9b · outbound

This paper cites Deep texture-aware features for camouflaged object detec- tion.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Deep texture-aware features for camouflaged object detec- tion

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.533750Z

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Observation 1238a2a0-10ce-46d4-acbf-30a22d47f139 · outbound

This paper cites Animal camouflage analysis: Chameleon database.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Animal camouflage analysis: Chameleon database

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.509818Z

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Observation 3a60e55d-fe18-4def-a01e-47a630065e47 · outbound

This paper cites Animal camouflage: current issues and new perspectives.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Animal camouflage: current issues and new perspectives

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.482789Z

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Observation 54784eae-d061-4f70-9182-fada16f98307 · outbound

This paper cites Segmenter: Transformer for semantic segmenta- tion.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Segmenter: Transformer for semantic segmenta- tion

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.351981Z

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Observation c0cf6160-c46e-47c5-8ea1-d599520dd3bd · outbound

This paper cites Boundary-Guided Camouflaged Object Detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Boundary-Guided Camouflaged Object Detection

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T15:33:30.678838Z

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Observation 505fe8d2-164f-4a6b-86a8-5c983d37ded5 · outbound

This paper cites Source-free domain adaptive fundus image segmen- tation with class-balanced mean teacher.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Source-free domain adaptive fundus image segmen- tation with class-balanced mean teacher

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:36.174234Z

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Observation 633162e7-51fd-4643-85f5-6ed745daf6a9 · outbound

This paper cites Visualizing data using t-sne.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Visualizing data using t-sne

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T15:33:30.754572Z

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Observation 6e277132-b52c-4dda-83b6-4001d28ba5c0 · outbound

This paper cites Learning to de- tect salient objects with image-level supervision.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Learning to de- tect salient objects with image-level supervision

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T15:33:30.831692Z

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Observation cb8f629c-b9c1-4545-9fb2-64cda2f2ce03 · outbound

This paper cites Salient object detection with recurrent fully convolutional networks.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Salient object detection with recurrent fully convolutional networks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.979035Z

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Observation c92a9a50-6e09-4dbc-9632-4fd34488de9b · outbound

This paper cites Camouflaged object segmentation with prior via two-stage training.CVIU, 246:104061, 2024.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Camouflaged object segmentation with prior via two-stage training.CVIU, 246:104061, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.957503Z

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Observation 479fd39e-e9a3-4091-b5f7-3499166a3439 · outbound

This paper cites A stagewise refinement model for detecting salient objects in images.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes A stagewise refinement model for detecting salient objects in images

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.925391Z

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Observation 287122f1-22ac-4a88-bf65-22df3c3dfd5e · outbound

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

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Salient object detection in the deep learning era: An in-depth survey

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.759771Z

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Observation 3c42fae0-ccf8-4019-b7bc-79a69a50e021 · outbound

This paper cites Pvtv2: Improved baselines with pyramid vision transformer.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Pvtv2: Improved baselines with pyramid vision transformer

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.564975Z

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Observation b630f3b4-1678-4824-a2da-ebb252b60a38 · outbound

This paper cites F3net: fusion, feedback and focus for salient object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes F3net: fusion, feedback and focus for salient object detection

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.384338Z

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Observation 30907542-095c-42c6-aec7-d2f2a6e83cfe · outbound

This paper cites Edn: Salient object detection via extremely- downsampled network.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Edn: Salient object detection via extremely- downsampled network

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.344013Z

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Observation 22cfb65f-a8f7-41b3-9954-e0a69f0595d5 · outbound

This paper cites Zero-shot learning—a comprehensive eval- uation of the good, the bad and the ugly.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Zero-shot learning—a comprehensive eval- uation of the good, the bad and the ugly

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.303404Z

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Observation b8481fd4-0dd5-48de-a7b4-06d997de6d23 · outbound

This paper cites Pyramid grafting network for one- stage high resolution saliency detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Pyramid grafting network for one- stage high resolution saliency detection

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.051971Z

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Observation 5b77b7a7-4e61-457c-845d-6917abc8e6d2 · outbound

This paper cites Segformer: Simple and ef- ficient design for semantic segmentation with transformers.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Segformer: Simple and ef- ficient design for semantic segmentation with transformers

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:35.021344Z

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Observation e10f7ba8-4c73-4185-82b2-c229c3f1cbf7 · outbound

This paper cites EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T15:33:31.190488Z

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Observation d4b8452b-b146-4c00-a634-0c6f0285b016 · outbound

This paper cites Hierarchical saliency detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Hierarchical saliency detection

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.916465Z

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Observation 2b51c986-6b7f-4e2f-a849-8007fa6888ba · outbound

This paper cites Biomedical SAM 2: Segment Anything in Biomedical Images and Videos.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T15:33:31.284392Z

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Observation 678a8737-e366-470c-a3a1-8cfba3d21d60 · outbound

This paper cites Saliency detection via graph-based man- ifold ranking.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Saliency detection via graph-based man- ifold ranking

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.782928Z

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Observation daf3b9a2-27a0-4031-8ee6-418e95fcdf79 · outbound

This paper cites Uncertainty-guided transformer reasoning for camouflaged object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Uncertainty-guided transformer reasoning for camouflaged object detection

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.656899Z

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Observation 0f3f2102-76e1-427b-a526-307e975659cc · outbound

This paper cites Camo- former: Masked separable attention for camouflaged object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Camo- former: Masked separable attention for camouflaged object detection

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.568516Z

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Observation 1f8aecc4-4dbd-41e6-b09c-f45ea6d798fd · outbound

This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Tokens-to-token vit: Training vision transformers from scratch on imagenet

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.514855Z

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Observation 3e02edd0-f42f-4a22-9055-a88a1d2c209c · outbound

This paper cites Mutual graph learning for cam- ouflaged object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Mutual graph learning for cam- ouflaged object detection

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.361622Z

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Observation 83dabd87-2c07-4417-a722-fb679ebd3c7e · outbound

This paper cites Ex- ploring figure-ground assignment mechanism in perceptual organization.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Ex- ploring figure-ground assignment mechanism in perceptual organization

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.331635Z

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Observation b3fa1519-3279-4e9a-b6a6-9fd1752ade8f · outbound

This paper cites Auto-msfnet: Search multi-scale fusion net- work for salient object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Auto-msfnet: Search multi-scale fusion net- work for salient object detection

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.251047Z

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Observation 1215dbec-1907-4ddf-a1d5-a3d550223f68 · outbound

This paper cites Preynet: Preying on cam- ouflaged objects.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Preynet: Preying on cam- ouflaged objects

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.178955Z

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Observation f83c9bef-e2b3-4ea0-97f4-9636d7be0519 · outbound

This paper cites Progressive attention guided recurrent net- work for salient object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Progressive attention guided recurrent net- work for salient object detection

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:34.014721Z

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Observation b463bc4b-6e88-4412-b4a1-be5f95ffdcd6 · outbound

This paper cites Suppress and balance: A simple gated network for salient object detection.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Suppress and balance: A simple gated network for salient object detection

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:33.811501Z

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Observation 501627d4-bd69-47a5-9706-a38c76734550 · outbound

This paper cites Spider: A unified frame- work for context-dependent concept segmentation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Spider: A unified frame- work for context-dependent concept segmentation

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:33.626921Z

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Observation 7433a826-bf36-4350-8752-c64bd0207760 · outbound

This paper cites Salient object detection via integrity learning.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Salient object detection via integrity learning

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:33.440444Z

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Observation 33c03bae-657d-4d6e-b85f-e7ac3b50ec16 · outbound

This paper cites an unresolved cited work.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:33:33.231403Z

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Observation 265e306f-aabc-4d9b-b0ef-e13754914d5c · outbound

This paper cites Confusion matrix of our USCNet on the USC12K test set.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Confusion matrix of our USCNet on the USC12K test set

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:33.066542Z

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Observation 73c85022-081c-4826-a407-61119568d4d9 · outbound

This paper cites We adopt five metrics that are widely used in COD and SOD tasks [12, 70].

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes We adopt five metrics that are widely used in COD and SOD tasks [12, 70]

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:32.915501Z

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Observation eefb3b2b-4547-4fc2-bd63-28266f8fbedd · outbound

This paper cites Horizontal flipping and random cropping are applied for data aug- mentation.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Horizontal flipping and random cropping are applied for data aug- mentation

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:32.783911Z

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Observation 495d20cf-26d0-4dd4-9429-f82adbb5877a · outbound

This paper cites We obtain an initial coarse classification using CLIP [57], followed by manual verifi- cation and refinement.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes We obtain an initial coarse classification using CLIP [57], followed by manual verifi- cation and refinement

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:32.664477Z

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Observation a9ced938-1f18-4125-85e9-e23c58dbfb5f · outbound

This paper cites As illustrated in Figure 11, our model outperforms its competitors.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes As illustrated in Figure 11, our model outperforms its competitors

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:32.496650Z

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Observation e7c7ef32-ece4-4017-a208-19bad883f21c · outbound

This paper cites We conducted ablation experiments to evaluate the performance of differ- ent base models, as presented in Table 12.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes We conducted ablation experiments to evaluate the performance of differ- ent base models, as presented in Table 12

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:33:32.364756Z

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Observation 07f7d7f2-bd04-4a9b-be51-5ade4024649d · outbound

This paper cites an unresolved cited work.

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:33:38.404055Z

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