This awesome list is under construction. If you have anything to recommend or any suggestions, please feel free to contact us via e-mail ([email protected]) or directly push a PR.
< Last updated: March/07/2024 >
Please refer to our recent survey paper for more details: Advances in Deep Concealed Scene Understanding, Visual Intelligence (VI), 2023.
Link: https://link.springer.com/article/10.1007/s44267-023-00019-6
Awesome List for Camouflaged Object Detection (COD)
| Dataset Name | Year | Publication | Links |
|---|---|---|---|
| MoCA-Mask | 2022 | CVPR | Paper |
| MoCA | 2020 | ACCV | Paper |
| Dataset Name | Year | Publication | Links |
|---|---|---|---|
| CDS2K | 2023 | VI | Paper/Intro/Download |
| PlantCamo | 2023 | - | - |
| IOCfish5K | 2023 | CVPR | Paper/Website/Download |
| NC4K | 2021 | CVPR | Paper |
| COD10K | 2020 | CVPR | Paper |
| Year | Publication | Title | Links |
|---|---|---|---|
| 2024 | CVPR | Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng |
Paper/Code |
| 2024 | CVPR | LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang |
Paper/Code |
| 2024 | CVPR | VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning Ziyang Luo, Nian Liu, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Khan, Junwei Han |
Paper/Code |
| 2024 | ICLR | Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu |
Paper/Code |
| 2024 | NeurIPS | Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li |
Paper/OpenReview/Code |
| 2024 | TMM | Decoupling and Integration Network for Camouflaged Object Detection Xiaofei Zhou; Zhicong Wu; Runmin Cong |
Paper/Code |
| 2024 | WACV | CamoFocus: Enhancing Camouflage Object Detection With Split-Feature Focal Modulation and Context Refinement Abbas Khan, Mustaqeem Khan, Wail Gueaieb, Abdulmotaleb El Saddik, Giulia De Masi, Fakhri Karray |
Paper/Code |
| 2024 | AAAI | CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models Zhongxi Chen, Ke Sun, Xianming Lin |
Paper/Code |
| 2024 | AAAI | Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects Jian Hu, Jiayi Lin, Weitong Cai, Shaogang Gong |
Paper/Proj/ Code |
| 2024 | Neucom | A systematic review of image-level camouflaged object detection with deep learning Yanhua Liang, Guihe Qin, Minghui Sun, Xinchao Wang, Jie Yan, Zhonghan Zhang |
Paper/Code |
| Year | Publication | Title | Links |
|---|---|---|---|
| 2023 | SCIS | SAM Struggles in Concealed Scenes--Empirical Study on "Segment Anything" Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng & Luc Van Gool |
Paper |
| 2023 | CVPR Workshop | Segment anything is not always perfect: An investigation of sam on different real-world applications Wei Ji, Jingjing Li, Qi Bi, Tingwei Liu, Wenbo Li, Li Cheng |
Paper/Github |
| 2023 | ICCV Workshop | SAM Fails to Segment Anything? – SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More Tianrun Chen, Lanyun Zhu, Chaotao Deng, Runlong Cao, Yan Wang, Shangzhan Zhang, Zejian Li, Lingyun Sun, Ying Zang, Papa Mao |
Paper/Website |
| 2023 | arXiv | Open-Vocabulary Camouflaged Object Segmentation Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu |
Paper/Code |
| 2023 | ACM MM | Frequency Perception Network for Camouflaged Object Detection Runmin Cong, Mengyao Sun, Sanyi Zhang, Xiaofei Zhou, Wei Zhang, Yao Zhao |
Paper/Code |
| 2023 | ACM MM | Frequency Representation Integration for Camouflaged Object Detection Chenxi Xie, Changqun Xia, Tianshu Yu, Jia Li |
Paper/Code |
| 2023 | ACM MM | Depth-aided Camouflaged Object Detection Qingwei Wang, Jinyu Yang, Xiaosheng Yu, Fangyi Wang, Peng Chen, Feng Zheng |
Paper/Code |
| 2023 | ACM MM | Object Segmentation by Mining Cross-Modal Semantics Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte |
Paper/Code |
| 2023 | IJCAI | Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection Xiaofei Li; Jiaxin Yang; Shuohao Li; Jun Lei; Jun Zhang; Dong Chen |
Paper |
| 2023 | arXiv | Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu |
Paper/Code |
| 2023 | SCIS | Distraction-aware camouflaged object segmentation Haiyang Mei, Xin Yang, Yunduo Zhou, Ge-Peng Ji, Xiaopeng Wei, and Deng-Ping Fan |
Paper/Code |
| 2023 | CVPR | Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, and Huan Xiong |
Paper/Code |
| 2023 | CVPR | Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li |
Paper/Code |
| 2023 | Electronics | [FLCNet] Camouflaged Object Detection with a Feature Lateral Connection Network Tao Wang, Jian Wang, and Ruihao Wang |
Paper/Code |
| 2023 | arXiv | Camoformer: Masked separable attention for camouflaged object detection Bowen Yin, Xuying Zhang, Qibin Hou, Bo-Yuan Sun, Deng-Ping Fan, and Luc Van Gool |
Paper/Code |
| 2023 | arXiv | Source-free depth for object pop-out Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool |
Paper/Code |
| 2023 | WACV | MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection Dehua Zheng, Xiaochen Zheng, Laurence T. Yang, Yuan Gao, Chenlu Zhu, Yiheng Ruan |
Paper/Code |
| 2023 | AAAI | Weakly-Supervised Camouflaged Object Detection with Scribble Annotations Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W.H. Lau |
Paper |
| 2023 | AAAI | High-resolution Iterative Feedback Network for Camouflaged Object Detection Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao |
Paper/Code |
| 2023 | MIR | Deep Gradient Learning for Efficient Camouflaged Object Detection (DGNet model) Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool |
Paper/Code |
| Year | Publication | Title | Links |
|---|---|---|---|
| 2022 | TPAMI | Concealed Object Detection (SINetV2 model & COD10K dataset) Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao |
Paper/Code |
| 2022 | arXiv | Global-Local Aggregation with Deformable Point Sampling for Camouflaged Object Detection Lee, Minhyeok, Suhwan Cho, Chaewon Park, Dogyoon Lee, Jungho Lee, and Sangyoun Lee |
Paper/Code |
| 2022 | TIP | Feature Aggregation and Propagation Network for Camouflaged Object Detection Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang |
Paper/Code |
| 2022 | CICAI | AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection Zeyu Zhao, Zhihao Liu & Chenglei Peng |
Paper/Code |
| 2022 | arXiv | Boundary-Aware Segmentation Network for Mobile and Web Applications (BAS model) Xuebin Qin, Deng-Ping Fan, Chenyang Huang, et al. |
Paper/Code |
| 2022 | arXiv | Towards Deeper Understanding of Camouflaged Object Detection (LSR extension) Yunqiu Lv, Jing Zhang, Yuchao Dai, et al. |
Paper/Code |
| 2022 | ACM MM | PreyNet: Preying on camouflaged objects M Zhang, S Xu, Yongri Piao, D Shi, S Lin, H Lu |
Paper/Code |
| 2022 | IJCAI | Boundary-Guided Camouflaged Object Detection Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang |
Paper/Code |
| 2022 | CVPR | Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way Qi Jia, S. Yao, Yu Liu, et al. |
Paper/Code |
| 2022 | CVPR | Detecting Camouflaged Object in Frequency Domain Yijie Zhong, Bo Li, Lv Tang, et al. |
Paper/Code |
| 2022 | CVPR | Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu |
Paper/Code |
| 2022 | AAAI | I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection Hongwei Zhu, Peng Li, Haoran Xie, Mingqiang Wei, et al. |
Paper/Code |
| 2022 | WACV | Modeling Aleatoric Uncertainty for Camouflaged Object Detection Jiawei Liu, Jing Zhang, Nick Barnes |
Paper/Code |
| 2022 | TCSVT | Camouflaged Object Detection via Context-aware Cross-level Fusion (C2FNet Extension) Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou |
Paper/Code |
| 2022 | TMM | Deep Texton-Coherence Network for Camouflaged Object Detection Wei Zhai, Yang Cao, HaiYong Xie, Zheng-Jun Zha |
Paper/Code |
| 2022 | KBS | Boundary-guided network for camouflage object detection Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang |
Paper/Code |
| 2022 | PR | CubeNet: X-shape connection for camouflaged object detection Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen |
Paper/Code |
| 2022 | PR | Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu |
Paper/Code |
| 2022 | TOMM | Frequency-aware Camouflaged Object Detection Jiaying Lin, Xin Tan, Ke Xu, Lizhuang Ma, Rynson W.H. Lau |
Paper/Code |
| Year | Publication | Title | Links |
|---|---|---|---|
| 2021 | ICCV | Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection Fan Yang, Qiang Zhai, Xin Li, Rui Huang, et al. |
Paper/Code |
| 2021 | CVPR | Uncertainty-aware Joint Salient Object and Camouflaged Object Detection Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai |
Paper/Code |
| 2021 | CVPR | Simultaneously Localize, Segment and Rank the Camouflaged Objects (NC4K) Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, et al. |
Paper/Code |
| 2021 | CVPR | Mutual Graph Learning for Camouflaged Object Detection Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan |
Paper/Code |
| 2021 | CVPR | Camouflaged Object Segmentation with Distraction Mining Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan |
Paper/Code |
| 2021 | IJCAI | Context-aware Cross-level Fusion Network for Camouflaged Object Detection Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu |
Paper/Code |
| 2021 | AAAI | Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu |
Paper/Code |
| 2021 | AAAI | CamouFinder: Finding Camouflaged Instances in Images Trung-Nghia Le, Vuong Nguyen, Cong Le, et al. |
Paper/Video |
| 2021 | TIFS | Integrating Part-Object Relationship and Contrast for Camouflaged Object Detection Yi Liu, Dingwen Zhang, Qiang Zhang, and Jungong Han |
Paper/Code |
| 2021 | TIE | D2C-Net: A Dual-branch, Dual-guidance and Cross-refine Network for Camouflaged Object Detection Kang Wang, Hongbo Bi, Yi Zhang, Cong Zhang, Ziqi Liu, Shuang Zheng |
Paper/Code |
| 2021 | TCSVT | Deep Texture-Aware Features for Camouflaged Object Detection Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, et al. |
Paper/Code |
| 2021 | TCSVT | Rethinking Camouflaged Object Detection: Models and Datasets Hongbo Bi, Cong Zhang, Kang Wang, Jinghui Tong, Feng Zheng |
Paper/Code |
| 2021 | Access | MirrorNet: Bio-Inspired Camouflaged Object Segmentation Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen |
Paper/Project |
| 2021 | arXiv | Exploring Depth Contribution for Camouflaged Object Detection Mochu Xiang, Jing Zhang, Yunqiu Lv, et al. |
Paper/Code |
| 2021 | arXiv | Accurate Camouflaged Object Detection via Mixture Convolution and Interactive Fusion Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen |
Paper/Code |
| Year | Publication | Title | Links |
|---|---|---|---|
| 2020 | CVPR | Camouflaged Object Detection (SINet & COD10K dataset) Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao |
Paper/Code |
| 2019 | CVIU | Anabranch network for camouflaged object segmentation (CAMO dataset) Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto |
Paper/Code |
| 2019 | SPL | Detection of People With Camouflage Pattern Via Dense Deconvolution Network (CPD1K dataset) Yunfei Zheng, Xiongwei Zhang, Feng Wang, Tieyong Cao, Meng Sun, Xiaobing Wang |
Paper/Code |
| 2018 | TIP | A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain Shuai Li, Dinei Florencio, Wanqing Li, Yaqin Zhao, Chris Cook |
Paper/Code |
| 2016 | IJCV | Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour Ajoy Mondal, Susmita Ghosh, Ashish Ghosh |
Paper/Code |
| Year | Publication | Title | Links |
|---|---|---|---|
| 2023 | arXiv | Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung |
Paper/Code |
| 2023 | ACM MM | A Unified Query-based Paradigm for Camouflaged Instance Segmentation Bo Dong, Jialun Pei, Rongrong Gao, Tian-Zhu Xiang, Shuo Wang, Huan Xiong |
Paper/Code |
| 2023 | CVPR | Camouflaged Instance Segmentation via Explicit De-camouflaging Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu |
Paper/Code |
| 2022 | ECCV | OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers Jialun Pei, Tianyang Cheng, Deng-Ping Fan, et al. |
Paper/Code |
| 2022 | TIP | Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, et al. |
Paper/Project |
| Year | Publication | Title | Links |
|---|---|---|---|
| 2023 | CVPR | Indiscernible Object Counting in Underwater Scenes Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool |
Paper/Code |
| Year | Publication | Title | Links |
|---|---|---|---|
| 2024 | arXiv | Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection Xin Zhang, Tao Xiao, Ge-Peng Ji, Xuan Wu, Keren Fu, Qijun Zhao |
Paper/Code |
| 2022 | CVPR | Implicit Motion Handling for Video Camouflaged Object Detection (MoCA-Mask dataset) Xuelian Cheng, Huan Xiong, Deng-Ping Fan, et al. |
Paper/Code |
| 2022 | TPAMI | EM-driven unsupervised learning for efficient motion segmentation Etienne Meunier, Ana¨ıs Badoual, and Patrick Bouthemy. |
Paper/Code |
| 2022 | NeurIPS | Segmenting Moving Objects via an Object-Centric Layered Representation Junyu Xie, Weidi Xie, Andrew Zisserman. |
Paper/Code |
| 2022 | arXiv | The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields Pia Bideau, Erik Learned-Miller, Cordelia Schmid, et al. |
Paper/Code |
| 2021 | ICCV | Self-Supervised Video Object Segmentation by Motion Grouping Charig Yang, Hala Lamdouar, Erika Lu, et al. |
Paper/Code |
| 2021 | BMVC | Segmenting Invisible Moving Objects Hala Lamdouar, Weidi Xie, and Andrew Zisserman. |
Paper/Code |
| 2020 | ACCV | Betrayed By Motion: Camouflaged Object Discovery via Motion Segmentation (MoCA dataset)Hala Lamdouar, Charig Yang, Weidi Xie,et al. |
Paper/Code |
| 2019 | CVPR | Object discovery in videos as foreground motion clustering Christopher Xie, Yu Xiang, Zaid Harchaoui, et al. |
Paper/Code |
| 2018 | CVPR | The best of both worlds: Combining cnns and geometric constraints for hierarchical motion segmentation Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon,et al. |
Paper/Code |
| 2016 | ECCV | It’s Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos Bideau, Pia, and Erik Learned-Miller. |
Paper/Code |
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2023 | arXiv | Large Model Based Referring Camouflaged Object Detection Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu |
Paper/Code |
| 2023 | arXiv | Referring Camouflaged Object Detection Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng |
Paper/Code |