Awesome
Awesome Camouflaged Object Detection <a href="https://github.com/sindresorhus/awesome"><img src="figs/awesome.png" alt="Awesome" style="max-width: 100%;" width="100"></a>
A curated collection of awesome resources for Camouflaged Object Detection (COD), including:
- Camouflaged/Concealed Object Detection (COD)
- Camouflaged/Concealed Object Segmentation (COS)
- Camouflaged/Concealed Scene Understanding (CSU)
🔥 We commit to maintaining regular updates to ensure the continuous enhancement of this resource.
:loudspeaker: [08/2024] Update ECCV2024, MM2024 papers.
:loudspeaker: [04/2024] Update CVPR2024 papers.
:loudspeaker: [01/2024] Update ICLR2024, WACV2024 papers.
:loudspeaker: [12/2023] Update NeurIPS2023, AAAI2024 papers.
:loudspeaker: [08/2023] Update ICCV2023, MM2023, etc. papers for COD and CIS.
:loudspeaker: [04/2023] Update CVPR2023 papers for COD and CIS.
:heavy_exclamation_mark: <sub>
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Content:
<!-- - [Overview](#Overview) -->- Camouflaged Object Detection (COD)
- Video Camouflaged Object Detection (VCOD)
- Camouflaged Instance Segmentation (CIS)
- Weakly-supervised COD
- Zero-Shot COD
- Referring COD
- Open-Vocabulary COS
- Other Related
- Datasets
- Appendix
<!--Transformer for COD: 1) [COD] Boosting COD with Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer, ICPR 2) [COD] High-resolution Iterative Feedback Network for Camouflaged Object Detection, arXiv 3) [COD] Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection, ICCV21 4) [CIS] OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers, ECCV22 5) [COD] Generative Transformer for Accurate and Reliable Salient Object Detection, arXiv -->
Preprint
| Pub. | Model | Title | Links |
|---|---|---|---|
| arXiv | <sup>HGINet</sup> | Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection <br> <sup><sub>Siyuan Yao, Hao Sun, Tian-Zhu Xiang, Xiao Wang, Xiaochun Cao</sub></sup> | Paper|Code |
| arXiv | <sup>AGLNet</sup> | Adaptive Guidance Learning for Camouflaged Object Detection <br> <sup><sub>Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang, Ying Tai</sub></sup> | Paper|Code |
| arXiv | <sup>-</sup> | Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation <br> <sup><sub>Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung</sub></sup> | Paper|Code |
| arXiv | <sup>PAD</sup> | Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection <br> <sup><sub>Yinghui Xing, Dexuan Kong, Shizhou Zhang, Geng Chen, Lingyan Ran, Peng Wang, Yanning Zhang</sub></sup> | Paper|Code |
| arXiv | <sup>UJSCODv2</sup> | Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning <br> <sup><sub>Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, Yuchao Dai</sub></sup> | Paper|Code |
| arXiv | <sup>R2CNet</sup> | Referring Camouflaged Object Detection <sub> </sub> <br> <sup><sub>Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng</sub></sup> | Paper|Code |
| arXiv | <sup>DQnet</sup> | DQnet: Cross-Model Detail Querying for Camouflaged Object Detection <br> <sup><sub>Wei Sun, Chengao Liu, Linyan Zhang, Yu Li, Pengxu Wei, Chang Liu, Jialing Zou, Jianbin Jiao, Qixiang Ye</sub></sup> | Paper|Code |
| arXiv | <sup>-</sup> | Transformer transforms salient object detection and camouflaged object detection <br> <sup><sub>Yuxin Mao, Jing Zhang, Yuchao Dai, et al.</sub></sup> | Paper|Code |
| arXiv | <sup>-</sup> | Exploring Depth Contribution for Camouflaged Object Detection <br> <sup><sub>Mochu Xiang, Jing Zhang, Yunqiu Lv, et al.</sub></sup> | Paper|Code |
| arXiv | <sup>MCIFNet</sup> | Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion <br> <sup><sub>Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen</sub></sup> | Paper|Code |
| arXiv | <sup>BASNet</sup> | Boundary-Aware Segmentation Network for Mobile and Web Applications <br> <sup><sub>Xuebin Qin, Deng-Ping Fan, Chenyang Huang, et al.</sub></sup> | Paper|Code |
COD
Review
| Year | Pub. | Title | Links |
|---|---|---|---|
| 2024 | arXiv | A Survey of Camouflaged Object Detection and Beyond <br> <sup><sub>Fengyang Xiao, Sujie Hu, Yuqi Shen, Chengyu Fang, Jinfa Huang, Chunming He, Longxiang Tang, Ziyun Yang, Xiu Li</sub></sup> | Paper|Res. |
| 2024 | Neucom | A systematic review of image-level camouflaged object detection with deep learning <br> <sup><sub>Yanhua Liang, Guihe Qin, Minghui Sun, Xinchao Wang, Jie Yan, Zhonghan Zhang</sub></sup> | Paper|Res. |
| 2024 | MulSys | A survey on deep learning-based camouflaged object detection <br> <sup><sub>Junmin Zhong, Anzhi Wang, Chunhong Ren & Jintao Wu</sub></sup> | Paper| |
| 2023 | VI | Advances in Deep Concealed Scene Understanding <sub> </sub> <br> <sup><sub>Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool</sub></sup> | Paper|Proj |
| 2021 | TCSVT | Rethinking Camouflaged Object Detection: Models and Datasets <br><sup><sub>Hongbo Bi, Cong Zhang, Kang Wang, Jinghui Tong, Feng Zheng</sub></sup> | Paper| |
2024
<!---->| Pub. | Model | Title | Links |
|---|---|---|---|
| TPAMI<br><sup>2024</sup> | <sup>ZoomNeXt</sup> | ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection <br> <sup><sub>Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu</sub></sup> | Offl.|arXiv|<br>Code |
| ECCV<br><sup>2024</sup> | <sup>WSSCOD</sup> | Learning Camouflaged Object Detection from Noisy Pseudo Label WSS COD <br> <sup><sub>Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan</sub></sup> | Paper|Code |
| ECCV<br><sup>2024</sup> | <sup>CamoTeacher</sup> | CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection WSS COD <br> <sup><sub>Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji</sub></sup> | Paper|Code |
| ECCV<br><sup>2024</sup> | <sup>SAM-COD</sup> | SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection <br> <sup><sub>Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao</sub></sup> | Paper|Code |
| ECCV<br><sup>2024</sup> | <sup>PSCOD</sup> | Just a Hint: Point-Supervised Camouflaged Object Detection <sub> </sub> <br> <sup><sub>Huafeng Chen, Dian Shao, Guangqian Guo, Shan Gao</sub></sup> | Paper|Code |
| ECCV<br><sup>2024</sup> | <sup>ACUMEN</sup> | Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and Visual Analysis Strategy <sub> </sub> <br> <sup><sub>Hong Zhang, Yixuan Lyu, Qian Yu, Hanyang Liu, Huimin Ma, Ding Yuan, Yifan Yang</sub></sup> | Paper|Code |
| ECCV<br><sup>2024</sup> | <small><sup>OVCoser</sup></small> | Open-Vocabulary Camouflaged Object Segmentation <sub> </sub> <br> <sup><sub>Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu</sub></sup> | Paper|Code |
| ECCV<br><sup>2024</sup> | <small><sup>FSEL</sup></small> | Frequency-Spatial Entanglement Learning for Camouflaged Object Detection <br> <sup><sub>Yanguang Sun, Chunyan Xu, Jian Yang, Hanyu Xuan, Lei Luo</sub></sup> | Paper|Code |
| ECCV<br><sup>2024</sup> | <small><sup>FocusDiffuser</sup></small> | FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection <br> <sup><sub>Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai, Ao Luo, Zicheng Jiao, Hong Cheng</sub></sup> | Paper|Code |
| MM<br><sup>2024</sup> | <sup>DSAM</sup> | Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection <br> <sup><sub>Zhenni Yu, Xiaoqin Zhang, Li Zhao, Yi Bin, Guobao Xiao</sub></sup> | Paper|Code |
| MM<br><sup>2024</sup> | <sup>MMCPF</sup> | Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection ZS COD <br> <sup><sub>Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li</sub></sup> | Paper|Code |
| MM<br><sup>2024</sup> | <sup>TPNet</sup> | Text-prompt Camouflaged Instance Segmentation with Graduated Camouflage Learning <br> <sup><sub>Zhentao He, Changqun Xia, Shengye Qiao, Jia Li</sub></sup> | Paper|Code |
| ICML<br><sup>2024</sup> | <sup>Spider</sup> | Spider: A Unified Framework for Context-dependent Concept Understanding <br> <sup><sub>Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu</sub></sup> | Paper|Code |
| CVPR<br><sup>2024</sup> | <sup>LAKE-RED</sup> | LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion Gen <br> <sup><sub>Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang</sub></sup> | Paper|Code |
| CVPR<br><sup>2024</sup> | <sup>VSCode</sup> | VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning <br> <sup><sub>Ziyang Luo, Nian Liu, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Khan, Junwei Han</sub></sup> | Paper|Code |
| CVPR<br><sup>2024</sup> | <sup>RISNet</sup> | Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes <sub> </sub> <br> <sup><sub>Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng</sub></sup> | Paper|Code |
| ICLR<br><sup>2024</sup> | <sup>ICEG</sup> | Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects <br> <sup><sub>Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu</sub></sup> | Paper|Code |
| ICASSP<br><sup>2024</sup> | <sup>EANet</sup> | Edge Attention Learning for Efficient Camouflaged Object Detection <br> <sup><sub>Zijian Liu; Ping Jiang; Lixin Lin; Xiaoheng Deng</sub></sup> | Paper|Code |
| AAAI<br><sup>2024</sup> | <sup>Camo<br>Diffusion</sup> | CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models <br> <sup><sub>Chen, Zhongxi and Sun, Ke and Lin, Xianming and Ji, Rongrong</sub></sup> | Paper|Code |
| AAAI<br><sup>2024</sup> | <sup>GenSAM</sup> | Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects <br> <sup><sub>Jian Hu, Jiayi Lin, Weitong Cai, Shaogang Gong</sub></sup> | Paper|Proj|<br>Code |
| WACV<br><sup>2024</sup> | <sup>CamoFocus</sup> | CamoFocus: Enhancing Camouflage Object Detection With Split-Feature Focal Modulation and Context Refinement <br> <sup><sub>Abbas Khan, Mustaqeem Khan, Wail Gueaieb, Abdulmotaleb El Saddik, Giulia De Masi, Fakhri Karray</sub></sup> | Paper|Code |
| -- | -- | -- | -- |
| TPAMI<br><sup>2024</sup> | <sup>CamoFormer</sup> | CamoFormer: Masked Separable Attention for Camouflaged Object Detection <br> <sup><sub>Bowen Yin; Xuying Zhang; Deng-Ping Fan; Shaohui Jiao; Ming-Ming Cheng; Luc Van Gool; Qibin Hou</sub></sup> | Offl.|arXiv|<br>Code |
| TIP<br><sup>2024</sup> | <sup>IdeNet</sup> | IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures <br> <sup><sub>Juwei Guan; Xiaolin Fang; Tongxin Zhu; Zhipeng Cai; Zhen Ling; Ming Yang; Junzhou Luo</sub></sup> | Paper|Code |
| IJCV<br><sup>2024</sup> | <sup>GateNetv2</sup> | Towards Diverse Binary Segmentation via A Simple yet General Gated Network <br> <sup><sub>Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang</sub></sup> | Paper|Code|<br>Res. |
| TNNLS<br><sup>2024</sup> | <sup>GLCONet</sup> | GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection <br> <sup><sub>Yanguang Sun, Hanyu Xuan, Jian Yang, Lei Luo</sub></sup> | Paper|Code |
| TMM<br><sup>2024</sup> | <sup>DINet</sup> | Decoupling and Integration Network for Camouflaged Object Detection <br> <sup><sub>Xiaofei Zhou; Zhicong Wu; Runmin Cong</sub></sup> | Paper|Code |
| PR<br><sup>2024</sup> | <sup>DSNet</sup> | Camouflaged Object Detection via Dual-branch Fusion and Dual Self-similarity constraints <br> <sup><sub>Haozhe Yang, Yuan Zhu, Ke Sun, Haoyang Ding, Xianming Lin</sub></sup> | Paper|Code |
| KBS<br><sup>2024</sup> | <sup>SDRNet</sup> | SDRNet: Camouflaged object detection with independent reconstruction of structure and detail <br> <sup><sub>Juwei Guan, Xiaolin Fang, Tongxin Zhu, Weiqi Qian</sub></sup> | Paper|Code |
| TCSVT<br><sup>2024</sup> | <sup>-</sup> | Edge Perception Camouflaged Object Detection under Frequency Domain Reconstruction <br> <sup><sub>Zijian Liu; Xiaoheng Deng; Ping Jiang; Conghao Lv; Geyong Min; Xin Wang</sub></sup> | Paper|Code |
| TCSVT<br><sup>2024</sup> | <sup>PRNet</sup> | Efficient Camouflaged Object Detection Network Based on Global Localization Perception and Local Guidance Refinement <br> <sup><sub>Xihang Hu; Xiaoli Zhang; Fasheng Wang; Jing Sun; Fuming Sun</sub></sup> | Paper|Code |
| TCSVT<br><sup>2024</sup> | <sup>CMNet</sup> | Finding Camouflaged Objects Along the Camouflage Mechanisms <br> <sup><sub>Yang Yang; Qiang Zhang</sub></sup> | Paper|Code |
| CVIU<br><sup>2024</sup> | <sup>DCPNet</sup> | Dual cross perception network with texture and boundary guidance for camouflaged object detection <br> <sup><sub>Yaming Wang, Jiatong Chen, Xian Fang, Mingfeng Jiang, Jianhua Ma</sub></sup> | Paper|Code |
| NeuCom<br><sup>2024</sup> | <sup>MCA-SAM</sup> | Multi-scale contrastive adaptor learning for segmenting anything in underperformed scenes <br> <sup><sub>Ke Zhou, Zhongwei Qiu, Dongmei Fu</sub></sup> | Paper|Code |
| ApplInt<br><sup>2024</sup> | <sup>TJNet</sup> | Two guidance joint network based on coarse map and edge map for camouflaged object detection <br> <sup><sub>Zhe Tang, Jing Tang, Dengpeng Zou, Junyi Rao & Fang Qi</sub></sup> | Paper|Code |
| ApplInt<br><sup>2024</sup> | <sup>CCSNet</sup> | Detecting camouflaged objects via cross-level context supplement <br> <sup><sub>Qing Zhang, Weiqi Yan, Rui Zhao, Yanjiao Shi & Jian Zeng</sub></sup> | Paper|Code |
| ApplSci<br><sup>2024</sup> | <sup>CCGNet</sup> | Camouflaged Object Detection That Does Not Require Additional Priors <br> <sup><sub>Yuchen Dong, Heng Zhou, Chengyang Li, Junjie Xie, Yongqiang Xie, and Zhongbo Li</sub></sup> | Paper|Code |
| MIR<br><sup>2024</sup> | <sup>-</sup> | Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications <br> <sup><sub>Wei Ji, Jingjing Li, Qi Bi, Tingwei Liu, Wenbo Li, Li Cheng</sub></sup> | Offl.|arXiv|<br>Code |
| ECOINF<br><sup>2024</sup> | <sup>YOLOv8-SIM</sup> | Camouflage detection: Optimization-based computer vision for Alligator sinensis with low detectability in complex wild environments BBox <br> <sup><sub>Yantong Liu, Sai Che, Liwei Ai, Chuanxiang Song, Zheyu Zhang, Yongkang Zhou, Xiao Yang, Chen Xian</sub></sup> | Paper|Code |
| ACCESS<br><sup>2024</sup> | <sup>FS-CDIS</sup> | The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation <sub> </sub> <br> <sup><sub>Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, et al.</sub></sup> | Paper|Code |
2023
| Pub. | Model | Title | Links |
|---|---|---|---|
| NeurIPS<br><sup>2023</sup> | <sup>WS-SAM</sup> | Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping <br> <sup><sub>Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li</sub></sup> | Paper|Code |
| MM<br><sup>2023</sup> | <sup>UQFormer</sup> | A Unified Query-based Paradigm for Camouflaged Instance Segmentation <br> <sup><sub>Do Dong, Jialun Pei, Rongrong Gao, Tian-Zhu Xiang, Shuo Wang, Huan Xiong</sub></sup> | Paper|Code |
| MM<br><sup>2023</sup> | <sup>FPNet</sup> | Frequency Perception Network for Camouflaged Object Detection <br> <sup><sub>Runmin Cong, Mengyao Sun, Sanyi Zhang, Xiaofei Zhou, Wei Zhang, Yao Zhao</sub></sup> | Paper|Code |
| MM<br><sup>2023</sup> | <sup>FRINet</sup> | Frequency Representation Integration for Camouflaged Object Detection <br> <sup><sub>Chenxi Xie, Changqun Xia, Tianshu Yu, Jia Li</sub></sup> | Paper|Code |
| MM<br><sup>2023</sup> | <sup>DaCOD</sup> | Depth-aided Camouflaged Object Detection <br> <sup><sub>Qingwei Wang, Jinyu Yang, Xiaosheng Yu, Fangyi Wang, Peng Chen, Feng Zheng</sub></sup> | Paper|Code |
| MM<br><sup>2023</sup> | <sup>XMSNet</sup> | Object Segmentation by Mining Cross-Modal Semantics <br> <sup><sub>Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte</sub></sup> | Paper|Code |
| IJCAI<br><sup>2023</sup> | <sup>PENet</sup> | Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection <br> <sup><sub>Xiaofei Li, Jiaxin Yang, Shuohao Li, Jun Lei, Jun Zhang, Dong Chen</sub></sup> | Paper|Code |
| ICCV<br><sup>2023</sup> | <sup>PopNet</sup> | Source-free Depth for Object Pop-out <br> <sup><sub>Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cedric Demonceaux, Radu Timofte, Luc Van Gool</sub></sup> | Paper|Code |
| ICCV<br><sup>2023</sup> | <sup>-</sup> | The Making and Breaking of Camouflage <br> <sup><sub>Hala Lamdouar, Weidi Xie, Andrew Zisserman</sub></sup> | Paper|Code |
| ICCVW<br><sup>2023</sup> | <sup>SAM-Adapter</sup> | SAM-Adapter: Adapting Segment Anything in Underperformed Scenes <br> <sup><sub>Tianrun Chen, Lanyun Zhu, Chaotao Deng, Runlong Cao, Yan Wang, Shangzhan Zhang, Zejian Li, Lingyun Sun, Ying Zang, Papa Mao</sub></sup> | Offl.|arXiv|<br>Code |
| CVPR<br><sup>2023</sup> | <sup>FSPNet</sup> | Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers <br> <sup><sub>Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, and Huan Xiong</sub></sup> | Paper|Code |
| CVPR<br><sup>2023</sup> | <sup>FEDER</sup> | Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction <br> <sup><sub>Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li</sub></sup> | Paper|Code |
| CVPR<br><sup>2023</sup> | <sup>EVP</sup> | Explicit Visual Prompting for Low-Level Structure Segmentations <br> <sup><sub>Weihuang Liu, Xi Shen, Chi-Man Pun, Xiaodong Cun</sub></sup> | Paper|Code |
| CVPR<br><sup>2023</sup> | <sup>IOCFormer</sup> | Indiscernible Object Counting in Underwater Scenes <sub> </sub> <br> <sup><sub>Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool</sub></sup> | Paper|Code |
| AAAI<br><sup>2023</sup> | <sup>CRNet</sup> | Weakly-Supervised Camouflaged Object Detection with Scribble Annotations <sub> </sub> <br> <sup><sub>Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W.H. Lau</sub></sup> | Paper|Code |
| AAAI<br><sup>2023</sup> | <sup>HitNet</sup> | High-resolution Iterative Feedback Network for Camouflaged Object Detection <br> <sup><sub>Xiaobin Hu, Deng-Ping Fan, Xuebin Qin, et al.</sub></sup> | Paper|Code |
| ECAI<br><sup>2023</sup> | <sup>diffCOD</sup> | Diffusion Model for Camouflaged Object Detection <br> <sup><sub>Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin</sub></sup> | Paper|Code |
| ICASSP<br><sup>2023</sup> | <sup>TinyCOD</sup> | TINYCOD: Tiny and Effective Model for Camouflaged Object Detection <br> <sup><sub>Haozhe Xing; Shuyong Gao; Hao Tang; Tsui Qin Mok; Yanlan Kang; Wenqiang Zhang</sub></sup> | Paper|Code |
| ICME<br><sup>2023</sup> | <sup>EAMNet</sup> | Edge-Aware Mirror Network for Camouflaged Object Detection <br> <sup><sub>Dongyue Sun, Shiyao Jiang, Lin Qi</sub></sup> | Paper|Code |
| ICME<br><sup>2023</sup> | <sup>FDNet</sup> | Camouflaged Object Detection with Feature Grafting and Distractor Aware <sub> </sub> <br> <sup><sub>Yuxuan Song, Xinyue Li, Lin Qi</sub></sup> | Paper|Code |
| ICME<br><sup>2023</sup> | <sup>OAFormer</sup> | OAFormer: Occlusion Aware Transformer for Camouflaged Object Detection <br> <sup><sub>Xin Yang, Hengliang Zhu, Guojun Mao, Shuli Xing</sub></sup> | Paper|Code |
| ICME<br><sup>2023</sup> | <sup>CFANet</sup> | CFANet: A Cross-layer Feature Aggregation Network for Camouflaged Object Detection <br> <sup><sub>Qing ZhangWeiqi Yan</sub></sup> | Paper|Code |
| WACV<br><sup>2023</sup> | <sup>MFFN</sup> | MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection <br> <sup><sub>Dehua Zheng, Xiaochen Zheng, Laurence T. Yang, Yuan Gao, Chenlu Zhu, Yiheng Ruan</sub></sup> | Paper|Code |
| -- | -- | -- | -- |
| IJCV<br><sup>2023</sup> | <sup>OPNet</sup> | Camouflaged Object Segmentation with Omni Perception <br> <sup><sub>Haiyang Mei, Ke Xu, Yunduo Zhou, Yang Wang, Haiyin Piao, Xiaopeng Wei, Xin Yang</sub></sup> | Paper|Code |
| TIP<br><sup>2023</sup> | <sup>SAT</sup> | Nowhere to Disguise: Spot Camouflaged Objects via Saliency Attribute Transfer <br> <sup><sub>Wenda Zhao; Shigeng Xie; Fan Zhao; You He; Huchuan Lu</sub></sup> | Paper|Code |
| TIP<br><sup>2023</sup> | <sup>PUENet</sup> | Predictive Uncertainty Estimation for Camouflaged Object Detection <br> <sup><sub>Yi Zhang, Jing Zhang, Wassim Hamidouche, Olivier Deforges</sub></sup> | Paper|Code |
| TIP<br><sup>2023</sup> | <sup>FSNet</sup> | FSNet: Focus Scanning Network for Camouflaged Object Detection <br> <sup><sub>Ze Song; Xudong Kang; Xiaohui Wei; Haibo Liu; Renwei Dian; Shutao Li</sub></sup> | Paper|Code |
| TIP<br><sup>2023</sup> | <sup>ZSCOD</sup> | Zero-Shot Camouflaged Object Detection ZS COD <br> <sup><sub>Haoran Li; Chun-Mei Feng; Yong Xu; Tao Zhou; Lina Yao; Xiaojun Chang</sub></sup> | Paper|Code |
| TNNLS<br><sup>2023</sup> | <sup>BBNet</sup> | Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark <sub> </sub> <br> <sup><sub>Cong Zhang, Hongbo Bi, Tian-Zhu Xiang, Ranwan Wu, Jinghui Tong, Xiufang Wang</sub></sup> | Paper|Code |
| TNNLS<br><sup>2023</sup> | <sup>MRR-Net</sup> | Camouflaged Object Segmentation Based on Matching–Recognition–Refinement Network <br> <sup><sub>Xinyu Yan; Meijun Sun; Yahong Han; Zheng Wang</sub></sup> | Paper|Code |
| TNNLS<br><sup>2023</sup> | <sup>PCPNet</sup> | Pixel-Centric Context Perception Network for Camouflaged Object Detection <br> <sup><sub>Ze Song; Xudong Kang; Xiaohui Wei; Shutao Li</sub></sup> | Paper|Code |
| TMM<br><sup>2023</sup> | <sup>UEDG</sup> | UEDG: Uncertainty-Edge Dual Guided Camouflage Object Detection <br> <sup><sub>Lyu, Yixuan and Zhang, Hong and Li, Yan and Liu, Hanyang and Yang, Yifan and Yuan, Ding</sub></sup> | Paper|Code |
| PR<br><sup>2023</sup> | <sup>Bi-RRNet</sup> | Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection <br> <sup><sub>Yan Liu, Kaihua Zhang, Yaqian Zhao, Hu Chen, Qingshan Liu</sub></sup> | Paper|Code |
| SCIS<br><sup>2023</sup> | <sup>-</sup> | SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything" <br> <sup><sub>Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng & Luc Van Gool</sub></sup> | Paper|Code |
| TCSVT<br><sup>2023</sup> | <sup>LSR+</sup> | Towards Deeper Understanding of Camouflaged Object Detection <sub> </sub> <br> <sup><sub>Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan</sub></sup> | Paper/Code |
| TCSVT<br><sup>2023</sup> | <sup>MSCAF-Net</sup> | MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-Scale Context-Aware Features <br> <sup><sub>Yu Liu; Haihang Li; Juan Cheng; Xun Chen</sub></sup> | Paper|Code |
| TCSVT<br><sup>2023</sup> | <sup>SARNet</sup> | Go Closer To See Better: Camouflaged Object Detection via Object Area Amplification and Figure-ground Conversion <br> <sup><sub>Haozhe Xing; Yan Wang; Xujun Wei; Hao Tang; Shuyong Gao; Wenqiang Zhang</sub></sup> | Paper/Code |
| TCSVT<br><sup>2023</sup> | <sup>DCNet</sup> | Dual-Constraint Coarse-to-Fine Network for Camouflaged Object Detection <br> <sup><sub>Guanghui Yue; Houlu Xiao; Hai Xie; Tianwei Zhou; Wei Zhou; Weiqing Yan; etc.</sub></sup> | Paper|Code |
| TCSVT<br><sup>2023</sup> | <sup>TANet</sup> | Deep Texture-Aware Features for Camouflaged Object Detection <br><sup><sub>Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, et al.</sub></sup> | Paper|Code |
| Neucom<br><sup>2023</sup> | <sup>CINet</sup> | Camouflaged object detection with counterfactual intervention <br> <sup><sub>Xiaofei Li, Hongying Li, Hao Zhou, Miaomiao Yu, Dong Chen, Shuohao Li, Jun Zhang</sub></sup> | Paper|Code |
| TIM<br><sup>2023</sup> | <sup>JCNet</sup> | Camouflaged Object Segmentation Based on Joint Salient Object for Contrastive Learning <br> <sup><sub>Jiang, Xinhao and Cai, Wei and Ding, Yao and Wang, Xin and Hong, Danfeng and Yang, Zhiyong and Gao, Weijie</sub></sup> | Paper|Code |
| ApplInt<br><sup>2023</sup> | <sup>TSFNet</sup> | Ternary symmetric fusion network for camouflaged object detection <br> <sup><sub>Yangyang Deng, Jianxin Ma, Yajun Li, Min Zhang & Li Wang</sub></sup> | Paper|Code |
2022
| Pub. | Model | Title | Links |
|---|---|---|---|
| NeurIPS<br><sup>2022</sup> | <sup>FGA-Net</sup> | Exploring Figure-Ground Assignment Mechanism in Perceptual Organization <br> <sup><sub>Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha</sub></sup> | Paper|Code |
| MM<br><sup>2022</sup> | <sup>PreyNet</sup> | PreyNet: Preying on camouflaged objects <br> <sup><sub>M Zhang, S Xu, Yongri Piao, D Shi, S Lin, H Lu</sub></sup> | Paper|Code |
| IJCAI<br><sup>2022</sup> | <sup>BGNet</sup> | Boundary-Guided Camouflaged Object Detection <br> <sup><sub>Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang</sub></sup> | Paper|Code |
| CVPR<br><sup>2022</sup> | <sup>ZoomNet</sup> | Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection <br> <sup><sub>Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu</sub></sup> | Paper|Code |
| CVPR<br><sup>2022</sup> | <sup>SegMaR</sup> | Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way <br> <sup><sub>Qi Jia, S. Yao, Yu Liu, et al.</sub></sup> | Paper|Code |
| CVPR<br><sup>2022</sup> | <sup>-</sup> | Detecting Camouflaged Object in Frequency Domain <br> <sup><sub>Yijie Zhong, Bo Li, Lv Tang, et al.</sub></sup> | Paper|Code |
| AAAI<br><sup>2022</sup> | <sup>BSA-Net</sup> | I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection <br><sup><sub>Hongwei Zhu, Peng Li, Haoran Xie, Mingqiang Wei, et al.</sub></sup> | Paper|Code |
| WACV<br><sup>2022</sup> | <sup>OCENet</sup> | Modeling Aleatoric Uncertainty for Camouflaged Object Detection <br> <sup><sub>Jiawei Liu, Jing Zhang, Nick Barnes</sub></sup> | Paper|Code |
| ICME<br><sup>2022</sup> | <sup>PINet</sup> | Finding the Achilles Heel: Progressive Identification Network for Camouflaged Object Detection <br> <sup><sub>Mu-Chun Chou, Hung-Jen Chen, Hong-Han Shuai</sub></sup> | Paper|Code |
| -- | -- | -- | -- |
| TPAMI<br><sup>2022</sup> | <sup>SINet-V2</sup> | Concealed Object Detection <sub> </sub> <br><sup><sub>Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao</sub></sup> | Paper|Code |
| TIP<br><sup>2022</sup> | <sup>FAPNet</sup> | Feature Aggregation and Propagation Network for Camouflaged Object Detection <br> <sup><sub>Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang</sub></sup> | Paper|Code |
| TIP<br><sup>2022</sup> | <sup>FindNet</sup> | FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection BSA-Net Ext <br> <sup><sub>Peng Li, Xuefeng Yan, Hongwei Zhu, Mingqiang Wei, Xiao-Ping Zhang, Jing Qin</sub></sup> | Paper|Code |
| TIP<br><sup>2022</sup> | <sup>MGL_v2</sup> | MGL: Mutual Graph Learning for Camouflaged Object Detection <br><sup><sub>Qiang Zhai; Xin Li; Fan Yang; Zhicheng Jiao; Ping Luo; Hong Cheng; Zicheng Liu</sub></sup> | Paper|Code |
| TMM<br><sup>2022</sup> | <sup>DTC-Net</sup> | Deep Texton-Coherence Network for Camouflaged Object Detection <br> <sup><sub>Wei Zhai, Yang Cao, HaiYong Xie, Zheng-Jun Zha</sub></sup> | Paper|Code |
| KBS<br><sup>2022</sup> | <sup>BgNet</sup> | Boundary-guided network for camouflage object detection <br> <sup><sub>Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang</sub></sup> | Paper|Code |
| PR<br><sup>2022</sup> | <sup>CubeNet</sup> | CubeNet: X-shape connection for camouflaged object detection <br> <sup><sub>Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen</sub></sup> | Paper|Code |
| PR<br><sup>2022</sup> | <sup>ERRNet</sup> | Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network <br><sup><sub>Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu</sub></sup> | Paper|Code |
| TCSVT<br><sup>2022</sup> | <sup>C2FNet-V2</sup> | Camouflaged Object Detection via Context-aware Cross-level Fusion <br> <sup><sub>Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou</sub></sup> | Paper|Code |
| MIR<br><sup>2022</sup> | <sup>DGNet</sup> | Deep Gradient Learning for Efficient Camouflaged Object Detection <br> <sup><sub>Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, et al.</sub></sup> | Paper|Code |
| TOMM<br><sup>2022</sup> | <sup>FBNet</sup> | Frequency-aware Camouflaged Object Detection <br> <sup><sub>Jiaying Lin, Xin Tan, Ke Xu, Lizhuang Ma, Rynson W.H. Lau</sub></sup> | Paper|Code |
2021
| Pub. | Model | Title | Links |
|---|---|---|---|
| ICCV<br><sup>2021</sup> | <sup>UGTR</sup> | Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection <br><sup><sub>Fan Yang, Qiang Zhai, Xin Li, Rui Huang, et al.</sub></sup> | Paper|Code |
| CVPR<br><sup>2021</sup> | <sup>UJSCOD</sup> | Uncertainty-aware Joint Salient Object and Camouflaged Object Detection <br><sup><sub>Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai</sub></sup> | Paper|Code |
| CVPR<br><sup>2021</sup> | <sup>LSR</sup> | Simultaneously Localize, Segment and Rank the Camouflaged Objects <sub> </sub> <br><sup><sub>Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, et al.</sub></sup> | Paper|Code |
| CVPR<br><sup>2021</sup> | <sup>MGL</sup> | Mutual Graph Learning for Camouflaged Object Detection <br><sup><sub>Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan</sub></sup> | Paper|Code |
| CVPR<br><sup>2021</sup> | <sup>PFNet</sup> | Camouflaged Object Segmentation with Distraction Mining <br><sup><sub>Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan</sub></sup> | Paper|Code |
| IJCAI<br><sup>2021</sup> | <sup>C2FNet</sup> | Context-aware Cross-level Fusion Network for Camouflaged Object Detection <br><sup><sub>Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu</sub></sup> | Paper|Code |
| AAAI<br><sup>2021</sup> | <sup>TINet</sup> | Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network <br><sup><sub>Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu</sub></sup> | Paper|Code |
| AAAI<br><sup>2021</sup> | <sup>-</sup> | CamouFinder: Finding Camouflaged Instances in Images Demo <br><sup><sub>Trung-Nghia Le, Vuong Nguyen, Cong Le, et al.</sub></sup> | Paper/Video |
| TIFS<br><sup>2021</sup> | <sup>TSPORTNet</sup> | Integrating Part-Object Relationship and Contrast for Camouflaged Object Detection <br><sup><sub>Yi Liu, Dingwen Zhang, Qiang Zhang, and Jungong Han</sub></sup> | Paper|Code |
| TIE<br><sup>2021</sup> | <sup>D2C-Net</sup> | D2C-Net: A Dual-branch, Dual-guidance and Cross-refine Network for Camouflaged Object Detection <br><sup><sub>Kang Wang, Hongbo Bi, Yi Zhang, Cong Zhang, Ziqi Liu, Shuang Zheng</sub></sup> | Paper|Code |
| ACCESS<br><sup>2021</sup> | <sup>MirrorNet</sup> | MirrorNet: Bio-Inspired Camouflaged Object Segmentation <br><sup><sub>Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen</sub></sup> | Paper|Proj |
Before 2020
| Pub. | Model | Title | Links |
|---|---|---|---|
| CVPR<br><sup>2020</sup> | <sup>SINet</sup> | Camouflaged Object Detection <sub></sub> <br><sup><sub>Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao</sub></sup> | Paper|Code |
| CVIU<br><sup>2019</sup> | <sup>ANet</sup> | Anabranch network for camouflaged object segmentation <sub> </sub> <br><sup><sub>Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto</sub></sup> | Paper|Code |
| SPL<br><sup>2019</sup> | <sup>CPDDNet</sup> | Detection of People With Camouflage Pattern Via Dense Deconvolution Network <sub> </sub> <br><sup><sub>Yunfei Zheng, Xiongwei Zhang, Feng Wang, Tieyong Cao, Meng Sun, Xiaobing Wang</sub></sup> | Paper|Code |
| TIP<br><sup>2018</sup> | <sup>FWFC</sup> | A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain <sub> </sub> <br><sup><sub>Shuai Li, Dinei Florencio, Wanqing Li, Yaqin Zhao, Chris Cook</sub></sup> | Paper|Code |
| IJCV<br><sup>2017</sup> | <sup>modiPNN</sup> | Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour <br><sup><sub>Ajoy Mondal, Susmita Ghosh, Ashish Ghosh</sub></sup> | Paper|Code |
VCOD
| Year | Pub. | Model | Title | Links |
|---|---|---|---|---|
| 2024 | TPAMI | <sup>ZoomNeXt</sup> | ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection <br> <sup><sub>Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu</sub></sup> | Offl.|arXiv|<br>Code |
| 2024 | IJCV | <sup>RCFF</sup> | The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields <br> <sup><sub>Pia Bideau, Erik Learned-Miller, Cordelia Schmid, Karteek Alahari</sub></sup> | Offl.|arXiv |
| 2024 | TMM | <sup>IMEX</sup> | Implicit-Explicit Motion Learning for Video Camouflaged Object Detection <br> <sup><sub>Wenjun Hui; Zhenfeng Zhu; Guanghua Gu; Meiqin Liu; Yao Zhao</sub></sup> | Paper|Code |
| 2024 | CVPR | <sup>TSP-SAM</sup> | Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection <br> <sup><sub>Wenjun Hui, Zhenfeng Zhu, Shuai Zheng, Yao Zhao</sub></sup> | Paper|Code |
| 2024 | CVPRW | <sup>SAM-PM</sup> | SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention <br> <sup><sub>Muhammad Nawfal Meeran, Gokul Adethya T, Bhanu Pratyush Mantha</sub></sup> | Paper|Code |
| 2024 | ICASSP | <sup>TMNet</sup> | Tokenmotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection VIA Learnable Token Selection <br> <sup><sub>Zifan Yu; Erfan Bank Tavakoli; Meida Chen; Suya You; Raghuveer Rao; et al</sub></sup> | Paper|Code |
| 2023 | ICCV | <sup>-</sup> | The Making and Breaking of Camouflage <br> <sup><sub>Hala Lamdouar, Weidi Xie, Andrew Zisserman</sub></sup> | Paper|Code |
| 2022 | CVPR | <sup>SLTNet</sup> | Implicit Motion Handling for Video Camouflaged Object Detection <sub> </sub> <br> <sup><sub>Xuelian Cheng, Huan Xiong, Deng-Ping Fan, et al.</sub></sup> | Paper|Code |
| 2022 | CVPR | <sup>QSDI</sup> | A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information <br> <sup><sub>Matthew Kowal, Mennatullah Siam, Md Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis</sub></sup> | Offl.|arXiv|<br>Code|Proj |
| 2022 | NeurIPS | <sup>OCLR</sup> | Segmenting Moving Objects via an Object-Centric Layered Representation <br> <sup><sub>Junyu Xie, Weidi Xie, Andrew Zisserman</sub></sup> | Paper|Code |
| 2022 | TPAMI | <sup>-</sup> | EM-driven unsupervised learning for efficient motion segmentation <br> <sup><sub>Etienne Meunier, Anaïs Badoual, Patrick Bouthemy</sub></sup> | Paper|Code |
| 2021 | ICCV | <sup>MG</sup> | Self-supervised Video Object Segmentation by Motion Grouping <br> <sup><sub>Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie</sub></sup> | Paper|Code|<br>Proj |
| 2021 | BMVC | <sup>SIMO</sup> | Segmenting Invisible Moving Objects <br> <sup><sub>Hala Lamdouar, Weidi Xie, Andrew Zisserman</sub></sup> | Paper|Proj |
| 2020 | ACCV | <sup>-</sup> | Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation <sub> </sub> <br> <sup><sub>Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman</sub></sup> | Paper|Code|<br>Data |
| 2018 | TIP | <sup>FWFC</sup> | A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain <sub></sub> <br><sup><sub>Shuai Li, Dinei Florencio, Wanqing Li, Yaqin Zhao, Chris Cook</sub></sup> | Paper|Code |
| 2017 | IJCV | <sup>modiPNN</sup> | Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour <br><sup><sub>Ajoy Mondal, Susmita Ghosh, Ashish Ghosh</sub></sup> | Paper|Code |
| 2016 | ECCV | <sup>CMS</sup> | It’s Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos <sub> </sub> <br> <sup><sub>Pia Bideau, Erik Learned-Miller</sub></sup> | Paper|Code |
CIS
| Year | Pub. | Model | Title | Links |
|---|---|---|---|---|
| 2024 | MM | <sup>TPNet</sup> | Text-prompt Camouflaged Instance Segmentation with Graduated Camouflage Learning <br> <sup><sub>Zhentao He, Changqun Xia, Shengye Qiao, Jia Li</sub></sup> | Paper|Code |
| 2024 | ApplInt | <sup>MSPNet</sup> | Multi-scale pooling learning for camouflaged instance segmentation <br> <sup><sub>Chen Li, Ge Jiao, Guowen Yue, Rong He & Jiayu Huang</sub></sup> | Paper|Code |
| 2023 | MM | <sup>UQFormer</sup> | A Unified Query-based Paradigm for Camouflaged Instance Segmentation <br> <sup><sub>Do Dong, Jialun Pei, Rongrong Gao, Tian-Zhu Xiang, Shuo Wang, Huan Xiong</sub></sup> | Paper|Code |
| 2023 | CVPR | <sup>DCNet</sup> | Camouflaged Instance Segmentation via Explicit De-camouflaging <br> <sup><sub>Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu</sub></sup> | Paper|Code |
| 2023 | arXiv | <sup>-</sup> | Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation <br> <sup><sub>Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung</sub></sup> | Paper|Code |
| 2022 | ECCV | <sup>OSFormer</sup> | OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers <br> <sup><sub>Jialun Pei, Tianyang Cheng, Deng-Ping Fan, et al.</sub></sup> | Paper|Code |
| 2022 | TIP | <sup>CFL</sup> | Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite <sub> </sub> <br> <sup><sub>Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, et al.</sub></sup> | Paper|Proj |
| 2021 | AAAI | <sup>-</sup> | CamouFinder: Finding Camouflaged Instances in Images Demo <br><sup><sub>Trung-Nghia Le, Vuong Nguyen, Cong Le, et al.</sub></sup> | Paper|Video |
WSCOD
| Year | Pub. | Model | Title | Links |
|---|---|---|---|---|
| 2024 | ECCV | <sup>CamoTeacher</sup> | CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection WSS COD <br> <sup><sub>Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji</sub></sup> | Paper|Code |
| 2024 | ECCV | <sup>WSSCOD</sup> | Learning Camouflaged Object Detection from Noisy Pseudo Label WSS COD <br> <sup><sub>Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan</sub></sup> | Paper|Code |
| 2024 | ECCV | <sup>SAM-COD</sup> | SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection <br> <sup><sub>Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao</sub></sup> | Paper|Code |
| 2024 | ECCV | <sup>-</sup> | Just a Hint: Point-Supervised Camouflaged Object Detection Point <sub></sub> <br> <sup><sub>Huafeng Chen, Dian Shao, Guangqian Guo, Shan Gao</sub></sup> | Paper|Code |
| 2023 | NeurIPS | <sup>WS-SAM</sup> | Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping <br> <sup><sub>Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li</sub></sup> | Paper|Code |
| 2023 | AAAI | <sup>CRNet</sup> | Weakly-Supervised Camouflaged Object Detection with Scribble Annotations Scribble <sub></sub> <br> <sup><sub>Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W.H. Lau</sub></sup> | Paper|Code |
Zero-Shot COD
| Year | Pub. | Model | Title | Links |
|---|---|---|---|---|
| 2024 | MM | <sup>MMCPF</sup> | Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection <br> <sup><sub>Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li</sub></sup> | Paper|Code |
| 2023 | TIP | <sup>ZSCOD</sup> | Zero-Shot Camouflaged Object Detection <br> <sup><sub>Haoran Li; Chun-Mei Feng; Yong Xu; Tao Zhou; Lina Yao; Xiaojun Chang</sub></sup> | Paper|Code |
RefCOD
| Year | Pub. | Model | Title | Links |
|---|---|---|---|---|
| 2023 | arXiv | <sup>MLKG</sup> | Large Model Based Referring Camouflaged Object Detection <br> <sup><sub>Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu</sub></sup> | Paper|Code |
| 2023 | arXiv | <sup>R2CNet</sup> | Referring Camouflaged Object Detection <sub></sub> <br> <sup><sub>Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng</sub></sup> | Paper|Code |
OVCOS
| Year | Pub. | Model | Title | Links |
|---|---|---|---|---|
| 2024 | ECCV | <small><sup>OVCoser</sup></small> | Open-Vocabulary Camouflaged Object Segmentation <sub></sub> <br> <sup><sub>Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu</sub></sup> | Paper|Code |
| 2023 | arXiv | <small><sup>-</sup></small> | Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation <br> <sup><sub>Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung</sub></sup> | Paper|Code |
Other Related
| Year | Pub. | Model | Title | Links |
|---|---|---|---|---|
| 2024 | CVPR | <small><sup>LAKE-RED</sup></small> | LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion Gen <br> <sup><sub>Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang</sub></sup> | Paper|Code |
| 2023 | AIR | <small><sup>CamDiff</sup></small> | CamDiff: Camouflage Image Augmentation via Diffusion Model Gen <br> <sup><sub>Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool</sub></sup> | Paper|Code |
| 2022 | CVPR | <small><sup>GANmouflage</sup></small> | GANmouflage: 3D Object Nondetection with Texture Fields Gen <br> <sup><sub>Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens</sub></sup> | Paper|Proj |
| 2022 | CVPR | <small><sup>DTA</sup></small> | DTA: Physical Camouflage Attacks using Differentiable Transformation Network <br> <sup><sub>Naufal Suryanto, Yongsu Kim, Hyoeun Kang, et al.</sub></sup> | Paper|Code |
| 2022 | TMM | <small><sup>LCG-Net</sup></small> | Location-Free Camouflage Generation Network Gen <br> <sup><sub>Yangyang Li, Wei Zhai, Yang Cao, Zheng-jun Zha</sub></sup> | Paper|Code |
| 2020 | AAAI | <small><sup>-</sup></small> | Deep Camouflage Images Gen <br><sup><sub>Qing Zhang, Gelin Yin, Yongwei Nie, Wei-Shi Zheng</sub></sup> | Paper|Code |
Datasets
| Name | Year | Pub. | Links | Type | #Annot. Img.(Cam./Non) | Bbox | Obj. Mask | Ins. Mask | Comments |
|---|---|---|---|---|---|---|---|---|---|
| CAMO++ | 2021 | TIP | Paper | Image | 2,700/2,800 | ✓ | ✓ | ✓ | |
| NC4K | 2021 | CVPR | Paper | Image | 4,121 | ✓ | ✓ | ✓ | |
| COD10K | 2020 | CVPR | Paper | Image | 5,066/4,934 | ✓ | ✓ | ✓ | |
| CAMO | 2019 | CVIU | Paper | Image | 1,250/1,250 | ✗ | ✓ | ✗ | |
| CPD1K | 2018 | SPL | Paper | Image | 1,000 | ✗ | ✓ | ✗ | |
| CHAMELEON | 2017 | — | Webpage | Image | 76 | ✗ | ✓ | ✗ | |
| MoCA-Mask | 2022 | CVPR | Paper | Video | 4,691 | ✓ | ✓ | ✗ | <!--87 clips, 22,939 images--> |
| MoCA | 2020 | ACCV | Paper | Video | 7,617 | ✓ | ✗ | ✗ | <!--141 clips, 37K images--> |
| CamoAnimals | 2016 | ECCV | Paper | Video | 181 | ✗ | ✓ | ✓ | <!--9 clips, 839 images--> |