Camouflaged Object Detection

Overview

Camouflaged object detection seeks to locate and segment objects that resemble their backgrounds, where weak boundaries and misleading texture make ordinary visual cues unreliable. Methods use multi-scale features, edge and frequency cues, iterative refinement, and complementary inputs such as depth, thermal, polarization, video motion, or language; foundation models such as SAM are also adapted for supervised, weakly supervised, and training-free settings. Evaluation spans image and video benchmarks, with growing attention to open-vocabulary queries, corrupted images, missing modalities, and negative scenes where no target is present. A central challenge is improving boundary accuracy and generalization without increasing false positives, data dependence, or computational cost.

Latest papers

CardsList

46 papers2 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

  1. AxisQ: Depth-Adaptive Channel--Frequency Quantization for Camouflaged Object Detection

    Oct 27, 2026Chi Ruan, Tianqi Li, Xin He +3Post-Training QuantizationAdaptive Quantization

  2. Concentration, Not Uncertainty: Why Targeted Synthetic Data Doesn't Help Camouflaged Object Detection

    Oct 7, 2026Akshat Dobhal, Sanjay SinghSynthetic Data SelectionSynthetic Data Generation

  3. Consensus-Aware Multi-Source Fusion for Reference-Guided Camouflaged Object Detection

    Sep 30, 2026Junyang Xia, Luocheng Zhang, Wenwen Pan +4Multi-Scale Feature FusionUnsupervised Camouflaged Object Detection

  4. UnfoldCRF: Structured Mask Refinement with Image-Conditioned Latent Regions

    Sep 27, 2026Chunming He, Rihan Zhang, Lei Xu +5Image SegmentationConditional Random Fields

  5. ViCo-SAM3: Vision-Conditioned Alignment for Open-Vocabulary Camouflaged Object Segmentation

    Sep 14, 2026Qiangqiang Zhou, Wenjun Tang, Yong Chen +2Text-Guided Image SegmentationOpen-Vocabulary Semantic Segmentation

  6. LGFN: Lightweight Gated RGB-Polarization Fusion with Modality-Availability Conditioning for Camouflaged Object Detection

    Sep 11, 2026Zhuangfan Huang, Xiaosong Li, Yang Liu +2Missing-Modality LearningEfficient Multimodal Inference

  7. Domain shift-robust object detection with GenAI image editing

    Sep 2, 2026Isabel D. Stein, Thijs A. Eker, Sebastiaan P. Snel +4Object DetectionDomain Generalization

  8. Seeing the Unseen: Camouflaged Object Detection Beyond the Visible Spectrum

    Aug 31, 2026Avi Gupta, Trasha GuptaMultispectral Object DetectionUnsupervised Camouflaged Object Detection

  9. CF-YOLO: Context-Aware Feature Refinement for Camouflaged Industrial Micro-Defect Detection

    Aug 28, 2026Xinda Yu, Kunxin Zheng, Chunan Yu +4Industrial Anomaly DetectionReal-Time Object Detection

  10. Is There Really a Camouflaged Object? Towards Realistic Camouflaged Object Detection

    Aug 11, 2026Huafeng Chen, Yueming Lyu, Chenyang Si +3Unsupervised Camouflaged Object DetectionObject Detection

  11. LAD-COD: Language-Aligned Dense Perception for Camouflaged Object Detection

    Aug 8, 2026Shangye Song, Tianzhi Zhu, Syed Ariff Syed Hesham +2Text-Guided Image SegmentationUnsupervised Camouflaged Object Detection

  12. VCP-DCN: Beyond Visual Concealed Property via Depth Collaborative Network for Camouflaged Object Detection

    Jul 30, 2026Songsong Duan, Xi Yang, Nannan WangCross-Modal AlignmentMultimodal Fusion

  13. GFR-SAM: Training-Free Referring Camouflaged Object Segmentation via Cross-Image Prompting

    Jul 13, 2026Yilong Yang, Jianxin Tian, Shengchuan Zhang +1Image SegmentationPromptable Image Segmentation

  14. CamoNAS: Neural Architecture Search for Enhanced Camouflaged Object Detection

    Jul 2, 2026Dawei Ren, Yan Zhang, Hongying Tang +2Neural Architecture SearchCamouflaged Object Detection

  15. HVPNet: A Bio-Inspired Network for General Salient and Camouflaged Object Detection

    Jun 30, 2026Jiawei Xu, Qiangqiang Zhou, Zhouping Li +3Efficient Multimodal InferenceSalient Object Detection

  16. CFCamo: A Counterfactual Detect-or-Abstain Framework for Camouflaged Object Detection

    May 28, 2026Suhang Li, Osamu Yoshie, Yuya IeiriSelective PredictionObject Hallucination in VLMs

  17. Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception

    May 25, 2026Mingfeng Zha, Tianyu Li, Guoqing Wang +5Test-Time AdaptationConsistency Regularization

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

    May 25, 2026Xia Li, Xinran Liu, Lin Qi +1Weakly Supervised Image SegmentationWeakly Supervised Learning

  19. BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors

    May 24, 2026Tyler Rust, Dara McNally, Kyle O'Donnell +2Image SegmentationSalient Object Detection

  20. SeamCam: Quantifying Seamless Camouflage via Multi-Cue Visual Detectability

    May 15, 2026Amin Karimi Monsefi, Abolfazl Meyarian, Mridul Khurana +6Camouflaged Object Detection

  21. RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects

    May 14, 2026Chunming He, Rihan Zhang, Dingming Zhang +5Image SegmentationCamouflaged Object Detection

  22. Global-Local Feature Decoding with Adapter-Guided SAMv2 for Salient Object Detection

    May 4, 2026Morteza Moradi, Mohammad Moradi, Simone Palazzo +2Salient Object DetectionVision Foundation Model Adaptation

  23. Exploring Boundary-Aware Spatial-Frequency Fusion for Camouflaged Object Detection

    Apr 20, 2026Song Yu, Yang Hu, Haokang Ding +2Frequency-Domain Feature LearningObject Detection

  24. When W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation Quantization

    Apr 18, 2026Tianqi Li, Wenyu Fang, Xin He +34-Bit QuantizationActivation Quantization

  25. CATP: Confidence-Aware Token Pruning for Camouflaged Object Detection

    Apr 18, 2026Yuhan Gao, Shuhao Kang, Xin He +3Token PruningEfficient ViTs

  26. SWNet: A Cross-Spectral Network for Camouflaged Weed Detection

    Apr 17, 2026Henry O. Velesaca, Luigi Miranda, Angel D. SappaAgricultural Image AnalysisWeed Detection

  27. Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection

    Apr 17, 2026Henry O. Velesaca, Andrea Mero, Guillermo A. Castillo +1Multispectral Object DetectionCamouflaged Object Detection

  28. Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection

    Apr 14, 2026Hao Wang, Jiqing Zhang, Xin Yang +4Prompt-Based Multimodal LearningCamouflaged Object Detection

  29. EviRCOD: Evidence-Guided Probabilistic Decoding for Referring Camouflaged Object Detection

    Apr 13, 2026Ye Wang, Kai Huang, Sumin Shen +1Unsupervised Camouflaged Object DetectionCamouflaged Object Detection