mlsanityData to 7 Oct 2026

CamoFormer: Masked Separable Attention for Camouflaged Object Detection

arXiv 2212.06570 ↗First posted 10 Dec 2022cs.CVcited by 58

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Abstract (arXiv)

How to identify and segment camouflaged objects from the background is challenging. Inspired by the multi-head self-attention in Transformers, we present a simple masked separable attention (MSA) for camouflaged object detection. We first separate the multi-head self-attention into three parts, which are responsible for distinguishing the camouflaged objects from the background using different mask strategies. Furthermore, we propose to capture high-resolution semantic representations progressively based on a simple top-down decoder with the proposed MSA to attain precise segmentation results. These structures plus a backbone encoder form a new model, dubbed CamoFormer. Extensive experiments show that CamoFormer surpasses all existing state-of-the-art methods on three widely-used camouflaged object detection benchmarks. There are on average around 5% relative improvements over previous methods in terms of S-measure and weighted F-measure.

Key facts. Cited by 58 papers in the map (data through 7 Oct 2026). Builds on 50 of its 98 references that are in the map. First posted on arXiv 10 Dec 2022.

Builds on

50 of 98 references.

References · 50

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38 more
  1. 2022A ConvNet for the 2020scited by 3,545
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  22. 2021Simultaneously Localize, Segment and Rank the Camouflaged Objectscited by 198
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  25. 2021VOLO: Vision Outlooker for Visual Recognitioncited by 164
  26. 2021Camouflaged Object Segmentation with Distraction Miningcited by 151
  27. 2022Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detectioncited by 145
  28. 2021All Tokens Matter: Token Labeling for Training Better Vision Transformerscited by 144
  29. 2021Salient Object Detection via Integrity Learningcited by 133
  30. 2021Uncertainty-aware Joint Salient Object and Camouflaged Object Detectioncited by 114
  31. 2021Anchor-free Oriented Proposal Generator for Object Detectioncited by 104
  32. 2021Mutual Graph Learning for Camouflaged Object Detectioncited by 103
  33. 2021Context-aware Cross-level Fusion Network for Camouflaged Object Detectioncited by 86
  34. 2022Deep Gradient Learning for Efficient Camouflaged Object Detectioncited by 65
  35. 2022Implicit Motion Handling for Video Camouflaged Object Detectioncited by 60
  36. 2021Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Predictioncited by 57
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 16; 2024: 9; 2025: 20; 2026: 13.

58 papers.

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  1. 2024Bilateral Reference for High-Resolution Dichotomous Image Segmentationcited by 112
  2. 2023SAM Struggles in Concealed Scenes -- Empirical Study on Segment Anythingcited by 75
  3. 2023A Comprehensive Survey on Segment Anything Model for Vision and Beyondcited by 64
  4. 2023DFormer: Rethinking RGBD Representation Learning for Semantic Segmentationcited by 58
  5. 2023Advances in Deep Concealed Scene Understandingcited by 47
  6. 2024A Survey of Camouflaged Object Detection and Beyondcited by 37
  7. 2023YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detectioncited by 33
  8. 2025DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentationcited by 30
  9. 2023Diffusion Model for Camouflaged Object Detectioncited by 27
  10. 2023CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Modelscited by 21
  11. 2023Referring Camouflaged Object Detectioncited by 19
  12. 2023Open-Vocabulary Camouflaged Object Segmentationcited by 14
38 more
  1. 2023TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshescited by 14
  2. 2023Object Segmentation by Mining Cross-Modal Semanticscited by 12
  3. 2024Learning Camouflaged Object Detection from Noisy Pseudo Labelcited by 12
  4. 2024CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detectioncited by 12
  5. 2025Reversible Unfolding Network for Concealed Visual Perception with Generative Refinementcited by 11
  6. 2024Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformercited by 10
  7. 2023Large Model Based Referring Camouflaged Object Detectioncited by 8
  8. 2023Polyper: Boundary Sensitive Polyp Segmentationcited by 8
  9. 2024CGCOD: Class-Guided Camouflaged Object Detectioncited by 7
  10. 2025CamSAM2: Segment Anything Accurately in Camouflaged Videoscited by 7
  11. 2025Deep Learning in Concealed Dense Predictioncited by 6
  12. 2024Adaptive Guidance Learning for Camouflaged Object Detectioncited by 4
  13. 2025Segment Concealed Objects with Incomplete Supervisioncited by 4
  14. 2025Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinementcited by 4
  15. 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentationcited by 4
  16. 2026HVPNet: A Bio-Inspired Network for General Salient and Camouflaged Object Detectioncited by 4
  17. 2025SAMwave: Wavelet-Driven Feature Enrichment for Effective Adaptation of Segment Anything Modelcited by 3
  18. 2025Distribution-Specific Learning for Joint Salient and Camouflaged Object Detectioncited by 3
  19. 2025Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotationscited by 3
  20. 2023Enhancing Representations through Heterogeneous Self-Supervised Learningcited by 2
  21. 2025Toward Realistic Camouflaged Object Detection: Benchmarks and Methodcited by 2
  22. 2025Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillationcited by 2
  23. 2025Expose Camouflage in the Water: Underwater Camouflaged Instance Segmentation and Datasetcited by 2
  24. 2025C3Net: Context-Contrast Network for Camouflaged Object Detectioncited by 2
  25. 2023When Super-Resolution Meets Camouflaged Object Detection: A Comparison Studycited by 1
  26. 2024LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolutioncited by 1
  27. 2025Bridging Semantic Logic Gaps: A Cognition Inspired Multimodal Boundary Preserving Network for Image Manipulation Localizationcited by 1
  28. 2026Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidancecited by 1
  29. 2023Coevolution of Camouflagecited by 0
  30. 2024Utilizing Grounded SAM for self-supervised frugal camouflaged human detectioncited by 0
  31. 2025LSP-ST: Ladder Shape-Biased Side-Tuning for Robust Infrared Small Target Detectioncited by 0
  32. 2025LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detectioncited by 0
  33. 2025SFGNet: Semantic and Frequency Guided Network for Camouflaged Object Detectioncited by 0
  34. 2025MSRNet: A Multi-Scale Recursive Network for Camouflaged Object Detectioncited by 0
  35. 2025DualGazeNet: A Biologically Inspired Dual-Gaze Query Network for Salient Object Detectioncited by 0
  36. 2026DGA-Net: Enhancing SAM with Depth Prompting and Graph-Anchor Guidance for Camouflaged Object Detectioncited by 0
  37. 2026Automated Re-Identification of Holstein-Friesian Cattle in Dense Crowdscited by 0
  38. 2026Language-Guided Structure-Aware Network for Camouflaged Object Detectioncited by 0

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