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<p align=center>Awesome Concealed Object Segmentation Awesome </p>

<p align=center>🔥A curated list of awesome <b>Concealed Object Segmentation(COS)</b> works.🔥</p> <p align=center>Please feel free to offer your suggestions in the Issues and pull requests to add links.</p> <p align=center><b>[ Last updated at 2024/11/17 ]</b></p>

Contents

<span id = "latest-works-recommended">Latest Works Recommended</span>

Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation ProMaC<br/>Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong<br/>NeurIPS, 2024. [Paper] [Code]<br/>Sep. 2024

A Survey of Camouflaged Object Detection and Beyond <br/>Fengyang Xiao, Sujie Hu, Yuqi Shen, Chengyu Fang, Jinfa Huang, Chunming He, Longxiang Tang, Ziyun Yang, Xiu Li<br/>arxiv, 2024. [Paper] [Code]<br/>Aug. 2024

<span id = "Citation">Citation</span>

If you find our work useful in your research, please consider citing:

@article{2024CODsurvey,
  title={A Survey of Camouflaged Object Detection and Beyond},
  author={Xiao, Fengyang and Hu, Sujie and Shen, Yuqi and Fang, Chengyu and Huang, Jinfa and He, Chunming and Tang, Longxiang and Yang, Ziyun and Li, Xiu},
  journal={arXiv preprint arXiv:2408.14562},
  year={2024}
}

<span id = "papers">Papers</span>

<span id = "1-camouflaged-object-detectioncod">1. Camouflaged Object Detection(COD)</span>

<span id = "11-Image-level-COD">1.1 Image-level COD</span>

<span id = "111-Normal-task-setting">1.1.1 Normal-task setting</span>

Image-level COD methods in normal-task setting use a variety of different strategies, mainly in the following five categories. And we include tags related to core techniques for each item.

<span id = "RGB-COD">1.1.1.1 RGB COD</span>
ReleaseMethod<br />TitlePub.Links
2024/10PCNetPlantCamo: Plant Camouflage Detection PlantCamo dataset<br/><sup><sub>Jinyu Yang, Qingwei Wang, Feng Zheng, Peng Chen, Aleš Leonardis, Deng-Ping Fan</sub></sup>arXiv<br />2024Paper/Code
2024/10MCRNetMamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection<br/><sup><sub>Dingwen Zhang, Liangbo Cheng, Yi Liu, Xinggang Wang, Junwei Han</sub></sup>arXiv<br />2024Paper/Code
2024/09MM-CamObj<br />MSI MTLMM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object ScenariosMM-CamObj dataset<br/><sup><sub>Jiacheng Ruan, Wenzhen Yuan, Zehao Lin, Ning Liao, Zhiyu Li, Feiyu Xiong, Ting Liu, Yuzhuo Fu</sub></sup>arXiv<br />2024Paper
2024/09FGSA-Net<br />MSC MSIFrequency-Guided Spatial Adaptation for Camouflaged Object Detection<br/><sup><sub>Shizhou Zhang, Dexuan Kong, Yinghui Xing, Yue Lu, Lingyan Ran, Guoqiang Liang, Hexu Wang, Yanning Zhang</sub></sup>TMM<br />2024Paper
2024/09GLCONet<br />MSCGLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection<br/><sup><sub>Yanguang Sun, Hanyu Xuan, Jian Yang, Lei Luo</sub></sup>TNNLS<br />2024Paper/Code
2024/09FSEL<br />MSC MSIFrequency-Spatial Entanglement Learning for Camouflaged Object Detection<br/><sup><sub>Yanguang Sun, Chunyan Xu, Jian Yang, Hanyu Xuan, Lei Luo</sub></sup>ECCV<br />2024Paper/Code
2024/09SDRNet<br />MSC MTLSDRNet: Camouflaged object detection with independent reconstruction of structure and detail<br/><sup><sub>Juwei Guan, Xiaolin Fang, Tongxin Zhu, Weiqi Qian</sub></sup>KBS<br/>2024 Paper/Code
2024/08ProMaC<br />MSC MSILeveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation<br/><sup><sub>Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong</sub></sup>NeurIPS<br />2024Paper/Code
2024/08ACUMEN<br />MSI MTLUnlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and Visual Analysis Strategy<br/>COD-TAX dataset<sup><sub>Hong Zhang, Yixuan Lyu, Qian Yu, Hanyang Liu, Huimin Ma, Ding Yuan, Yifan Yang</sub></sup>ECCV<br />2024Paper/Code
2024/08PSCOD<br />MSC MSJust a Hint: Point-Supervised Camouflaged Object DetectionP-COD dataset<br/><sup><sub>Huafeng Chen, Dian Shao, Guangqian Guo, Shan Gao</sub></sup>ECCV<br />2024Paper
2024/08SAM-COD<br />MSC MSISAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection<br/><sup><sub>Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao</sub></sup>ECCV<br />2024Paper
2024/08CamoTeacher<br />MSICamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection<br/><sup><sub>Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji</sub></sup>ECCV<br />2024Paper
2024/08IdeNet<br />MSC MSIdeNet: 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>TIP<br />2024Paper/Code
2024/08MCA-SAM<br />AdaptorMulti-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes<br/><sup><sub>Ke Zhou, Zhongwei Qiu, Dongmei Fu</sub></sup>Neurocomputing<br /> 2024Paper
2024/08HGINet<br /><br />MSCHierarchical 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>TIP<br />2024Paper/Code
2024/08SAM2-UNet<br />MSCSAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation<br/><sup><sub>Xinyu Xiong, Zihuang Wu, Shuangyi Tan, Wenxue Li, Feilong Tang, Ying Chen, Siying Li, Jie Ma, Guanbin Li</sub></sup>arXiv<br />2024Paper/Code
2024/08SAM2-Adapter<br />AdapterSAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More<br/><sup><sub>Tianrun Chen, Ankang Lu, Lanyun Zhu, Chaotao Ding, Chunan Yu, Deyi Ji, Zejian Li, Lingyun Sun, Papa Mao, Ying Zang</sub></sup>CoRR<br />2024Paper
2024DCPNet<br />MSC MTLDual 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>CVIU<br/>2024Paper
2024/07Technical ReportEvaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2<br/><sup><sub>Lv Tang, Bo Li</sub></sup>arXiv<br />2024Paper/Code
2024/07WSSCOD<br />MSC MSILearning Camouflaged Object Detection from Noisy Pseudo Label<br/><sup><sub>Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan</sub></sup>ECCV<br />2024Paper
2024/07FocusDiffuser<br />Diffusion ModelFocusDiffuser: 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>ECCV<br />2024Paper/Code
2024/05Spider<br />MSI MTLSpider: A Unified Framework for Context-dependent Concept Segmentation<br/><sup><sub>Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu</sub></sup>ICML<br />2024Paper/Code
2024/05TJNet<br />MSC MS MTLTwo 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>AI<br />2024Paper/Code
2024/05GreenCOD<br />MSCGreenCOD: A Green Camouflaged Object Detection Method<br/><sup><sub>Hong-Shuo Chen, Yao Zhu, Suya You, Azad M. Madni, C.-C. Jay Kuo</sub></sup>arXiv<br />2024Paper/Project
2024/05AGLNet<br />MSC MSIAdaptive Guidance Learning for Camouflaged Object Detection<br/><sup><sub>Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang, Ying Tai</sub></sup>arXiv<br />2024Paper/Code
2024/04FS-CDIS <br />MTLThe Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation CAMO-FS dataset <br/><sup><sub>Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen</sub></sup>IEEE ACCESS<br/>2024Paper
2024/04LAKE-RED<br />Diffusion ModelLAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion<br/><sup><sub>Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang</sub></sup>CVPR<br />2024Paper/Code
2024/04EANet<br />MSC MTLEdge Attention Learning for Efficient Camouflaged Object Detection<br/> <sup><sub>Zijian Liu; Ping Jiang; Lixin Lin; Xiaoheng Deng</sub></sup>ICASSP<br />2024Paper
2024/03EPNet<br />MSC MSI MTLEdge 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>TCSVT<br />2024Paper
2024/02SENet<br />JS MTLA Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection<br/> <sup><sub>Chao Hao, Zitong Yu, Xin Liu, Jun Xu, Huanjing Yue, Jingyu Yang</sub></sup>arXiv<br />2024Paper/Code
2024/02SCLoss<br />loss functionSpatial Coherence Loss for Salient and Camouflaged Object Detection and Beyond<br/> <sup><sub>Ziyun Yang, Kevin Choy, Sina Farsiu</sub></sup>arXiv<br />2024Paper
2024/02CoFiNet<br />MSCCoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse<br/> <sup><sub>Cunhan Guo, Heyan Huang</sub></sup>arXiv<br />2024Paper
2024/02CCGNet<br />MSC MTLCamouflaged 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>Appl. Sci<br />2024Paper
2024/01HCM<br />MSCConcealed Object Segmentation with Hierarchical Coherence Modeling<br/> <sup><sub>Fengyang Xiao, Pan Zhang, Chunming He, Runze Hu, Yutao Liu</sub></sup>CAAI<br />2023Paper
2024/01PRNet<br />MSC MSEfficient 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>TCSVT<br />2023Paper/Code
2024/01DINet<br />MSCDecoupling and Integration Network for Camouflaged Object Detection<br/> <sup><sub>Xiaofei Zhou; Zhicong Wu; Runmin Cong</sub></sup>TMM<br />2024Paper
2024/01CamoFocus<br />MSC MSCamoFocus: 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>WACV<br />2024Paper/Code
2023/12GenSAM<br />MSIRelax 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>AAAI<br />2024Paper/Code/Project
2023/11OWinCANet <br />MSCCross-level Attention with Overlapped Windows for Camouflaged Object Detection<br/> <sup><sub>Jiepan Li, Fangxiao Lu, Nan Xue, Zhuohong Li, Hongyan Zhang, Wei He</sub></sup>arXiv<br />2023Paper
2023/11VSCode<br />JS MSIVSCode: 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>CVPR<br />2024Paper/Code
2023/11CoVP<br />MSChain 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>ACM MM<br />2024Paper/Code
2023/10FRINet<br />MSC MSI MTLFrequency Representation Integration for Camouflaged Object Detection <br> <sup><sub>Chenxi Xie,Changqun Xia,Tianshu Yu,Jia Li</sub></sup>ACM MM<br />2023Paper/Code
2023/10CINet<br />MSCCamouflaged object detection with counterfactual intervention <br> <sup><sub>Xiaofei Li, Hongying Li, Hao Zhou, Miaomiao Yu, Dong Chen, Shuohao Li, Jun Zhang</sub></sup>Neuro<br />2023Paper
2023/10PrObeD<br />WrapperPrObeD: Proactive Object Detection Wrapper<br/> <sup><sub>Vishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu</sub></sup>NeurIPS<br />2023Paper/Code
2023/10PFRNet<br />MSCYou Do Not Need Additional Priors in Camouflage Object Detection<br/> <sup><sub>Yuchen Dong, Heng Zhou, Chengyang Li, Junjie Xie, Yongqiang Xie, Zhongbo Li</sub></sup>arXiv<br />2023Paper
2023/09DCNet<br />MSC MS MTLDual-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>TCSVT<br />2023Paper
2023/08CMNet<br />MSC JS MTLFinding Camouflaged Objects along the Camouflage Mechanisms <br> <sup><sub>Yang Yang; Qiang Zhang</sub></sup>TCSVT<br />2023Paper
2023/08FPNet<br />MSC MS MSIFrequency Perception Network for Camouflaged Object Detection <br> <sup><sub>Runmin Cong, Mengyao Sun, Sanyi Zhang, Xiaofei Zhou, Wei Zhang, Yao Zhao</sub></sup>ACM MM<br />2023Paper/Code
2023/08diffCOD<br />Diffusion ModelDiffusion Model for Camouflaged Object Detection <br> <sup><sub>Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin</sub></sup>ECAI<br />2023Paper/Code
2023/08ZSCOD<br />MSC MTLZero-Shot Camouflaged Object Detection <br> <sup><sub>Haoran Li; Chun-Mei Feng; Yong Xu; Tao Zhou; Lina Yao; Xiaojun Chang</sub></sup>TIP<br />2023Paper
2023/08JCNet<br />MSC JS MTLCamouflaged Object Segmentation Based on Joint Salient Object for Contrastive Learning <br> <sup><sub>Jiang, Xinhao aPopNetnd Cai, Wei and Ding, Yao and Wang, Xin and Hong, Danfeng and Yang, Zhiyong and Gao, Weijie</sub></sup>TIM<br />2023Paper/Code
2023/08Camouflageator-ICEG<br />MSC MS MTLStrategic 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>ICLR<br />2024Paper/Code
2023/08PENet<br />MSC MS MTLLocate, 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>IJCAI<br />2023Paper
2023/08ASBI<br />MSC MTLAttention-induced semantic and boundary interaction network for camouflaged object detection<br/><sup><sub>Qiao Zhang, Xiaoxiao Sun, Yurui Chen, Yanliang Ge, Hongbo Bi</sub></sup>CVIU<br />2023Paper/Code
2023/08TSFNet<br />MSC MSTernary symmetric fusion network for camouflaged object detection<br/><sup><sub>Yang Deng, Jianxin Ma, Yajun Li, M. Zhang, L. Wang</sub></sup>API<br />2023Paper
2023/08CINet<br />MSCA cross-level interaction network based on scale-aware augmentation for camouflaged object detection<br/><sup><sub>Ming Ma; Bangyong Sun</sub></sup>TETCI<br />2023Paper
2023/08CamoFourier<br />MSI MTLUnveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation<br/><sup><sub>Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do</sub></sup>arXiv<br />2023Paper
2023/08SCODE<br />MTLCamouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection<br/><sup><sub>Haichao Zhang, Can Qin, Yu Yin, Yun Fu</sub></sup>arXiv<br />2023Paper
2023/07EAMNet<br />MSC MTLEdge-Aware Mirror Network for Camouflaged Object Detection <br> <sup><sub>Dongyue Sun, Shiyao Jiang, Lin Qi</sub></sup>ICME<br />2023Paper/Code
2023/07FDNet<br />MSCCamouflaged Object Detection with Feature Grafting and Distractor Aware ACOD2K <br> <sup><sub>Yuxuan Song, Xinyue Li, Lin Qi</sub></sup>ICME<br />2023Paper/Code
2023/07MRRNet<br />MSC MSCamouflaged Object Segmentation Based on Matching–Recognition–Refinement Network <br> <sup><sub>Xinyu Yan; Meijun Sun; Yahong Han; Zheng Wang</sub></sup>TNNLS<br />2023Paper/Code
2023/07UEDG<br />MTLUEDG: 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>TMM<br />2023Paper/Code
2023/07UJSCOD-V2<br />MTL JSJoint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware LearningUJSCOD extention <br> <sup><sub>Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, Yuchao Dai</sub></sup>arXiv<br />2023Paper/Code/Project
2023/07PAD<br />MTLPre-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>arXiv<br />2023Paper
2023/07PUENet<br />MSC MTLPredictive Uncertainty Estimation for Camouflaged Object Detection <br> <sup><sub>Yi Zhang, Jing Zhang, Wassim Hamidouche, Olivier Deforges</sub></sup>TIP<br />2023Paper/Code
2023/07AGNet<br />MSC MS MTLAlternate guidance network for boundary-aware camouflaged object detection<br/> <sup><sub>Jinhao Yu, Shuhan Chen, Lu Lu, Zeyu Chen, Xiuqi Xu, Xuelong Hu & Jinrong Zhu</sub></sup>MVA<br />2023Paper
2023/06OPNet<br />MSC MSCamouflaged Object Segmentation with Omni Perception <br> <sup><sub>Haiyang Mei, Ke Xu, Yunduo Zhou, Yang Wang, Haiyin Piao, Xiaopeng Wei, Xin Yang</sub></sup>IJCV<br />2023Paper
2023/06CFANet<br />MSCCFANet: A Cross-layer Feature Aggregation Network for Camouflaged Object Detection <br> <sup><sub>Qing ZhangWeiqi Yan</sub></sup>ICME<br />2023Paper/Code
2023/06TinyCOD<br />MSCTINYCOD: 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>ICASSP<br />2023Paper/Code
2023/06OAFormer<br />MSC MSOAFormer: Occlusion Aware Transformer for Camouflaged Object Detection <br> <sup><sub>Xin Yang, Hengliang Zhu, Guojun Mao, Shuli Xing</sub></sup>ICME<br />2023Paper/Code
2023/06Bi-RRNet<br />MSCBi-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>PR<br />2023Paper
2023/06CABR<br />MSC MTLCamouflaged object detection based on context-aware and boundary refinement<br/> <sup><sub>Caijuan Shi, Bijuan Ren, Houru Chen, Lin Zhao, Chunyu Lin & Yao Zhao</sub></sup>API<br />2023Paper
2023/05WS-SAM <br />MSCWeakly-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>NeurIPS<br />2023Paper/Code
2023/05CamoDiffusion<br />Diffusion ModelCamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models <br> <sup><sub>Zhongxi Chen, Ke Sun, Xianming Lin, Rongrong Ji</sub></sup>AAAI<br/>2024Paper/Code
2023/05BTSNet<br />MSC MS MTLA bioinspired three-stage model for camouflaged object detection<br/> <sup><sub>Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang</sub></sup>arXiv<br />2023Paper/Code
2023/04FLCNet<br />MSCCamouflaged Object Detection with a Feature Lateral Connection Network <br> <sup><sub>Tao Wang, Jian Wang, and Ruihao Wang</sub></sup>Electronics<br />2023Paper/Code
2023/04SAM-Adapter<br />AdapterSAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, and More <br> <sup><sub>Tianrun Chen, Lanyun Zhu, Chaotao Ding, Runlong Cao, Yan Wang, Zejian Li, Lingyun Sun, Papa Mao, Ying Zang</sub></sup>arXiv<br />2023Paper
2023/04BCNet<br />MSC MTLBoundary-guided context-aware network for camouflaged object detection<br/> <sup><sub>J. Xiao, T. Chen, X. Hu, G. Zhang, S. Wang</sub></sup>Neural Comput<br />2023Paper
2023/04MFNet<br />MSC MTLEdge-guided camouflaged object detection via multi-level feature integration<br/> <sup><sub>Kangwei Liu,Tianchi Qiu,Yinfeng Yu,Songlin Li, Xiuhong Li</sub></sup>Sensors<br />2023Paper/Code
2023/04DBFN<br />MSCDouble-branch fusion network with a parallel attention selection mechanism for camouflaged object detection <br/> <sup><sub>Junjiang Xiang, Qing Pan, Zhengrong Zhang, Songnian Fu & Yuwen Qin</sub></sup>SCIS<br />2023Paper
2023/04FSNet<br />MSC MSFSNet: Focus Scanning Network for Camouflaged Object Detection<br> <sup><sub>Ze Song; Xudong Kang; Xiaohui Wei; Haibo Liu; Renwei Dian; Shutao Li</sub></sup>TIP<br />2023Paper/Code
2023/04CamDiff<br />Diffusion ModelCamDiff: Camouflage image augmentation via diffusion model<br/>Diff-COD dataset <sup><sub>Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool</sub></sup>CAAI AIR<br />2023Paper/Code
2023/04FS-CDIS<br />loss functionThe Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationCAMO-FS dataset<br/><sup><sub>Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen</sub></sup>IEEE Access<br />2024Paper
2023/04PFNet+<br />MSC MCDistraction-aware camouflaged object segmentation<br/><sup><sub>Haiyang Mei, Xin Yang, Yunduo Zhou, Ge-Peng Ji, Xiaopeng Wei, and Deng-Ping Fan</sub></sup>SSI<br />2023Code/Project
2023/03Semi-SINet<br />MSC MS MTLCamouflaged people detection based on a semi-supervised search identification network<br/> <sup><sub>Yang Liu, Cong-qing Wang, Yong-jun Zhou</sub></sup>Def. Technol.<br />2023Paper
2023/03SARNet<br />MSC MSGo 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>TCSVT<br />2023Paper/Code
2023/03SAT<br />JSNowhere to Disguise: Spot Camouflaged Objects via Saliency Attribute Transfer <br> <sup><sub>Wenda Zhao; Shigeng Xie; Fan Zhao; You He; Huchuan Lu</sub></sup>TIP<br />2023Paper/Code
2023/02MSCAF-Net<br />MSC MSMSCAF-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>TCSVT<br />2023Paper/Code
2023/02FSPNet <br />MSCFeature 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>CVPR<br />2023Paper/Code
2023/02FEDER <br />MSC MTL MSICamouflaged 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>CVPR<br />2023 Paper/Code
2023/02CPNet<br />MSCCamouflaged Object Detection Based on Ternary Cascade Perception<br/><sup><sub>Xinhao Jiang,Wei Cai,Yao Ding, Xin Wang,Zhiyong Yang,Xingyu Di,Weijie Gao</sub></sup>RS<br />2023Paper
2022/12CamoFormer <br />MSCCamoFormer: Masked separable attention for camouflaged object detection <br><sup><sub>BoFEDERwen Yin, Xuying Zhang, Qibin Hou, Bo-Yuan Sun, Deng-Ping Fan, and Luc Van Gool</sub></sup>TPAMI<br/>2024Paper/Code
2022/12AGFNet<br />MSC MTLAGFNet: Attention Guided Fusion Network for Camouflaged Object Detection <br><sup><sub>Zeyu Zhao, Zhihao Liu & Chenglei Peng</sub></sup>CICAI<br />2022Paper
2022/12DQnet<br />MSCDQnet: 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>arXiv<br />2022Paper
2022/11FAP-Net <br />MSC MTLFeature Aggregation and Propagation Network for Camouflaged Object Detection <br><sup><sub>Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang</sub></sup>TIP<br />2022Paper/Code
2022/11DPSNet<br />MSC MTLBoundary-aware Camouflaged Object Detection via Deformable Point Sampling <br> <sup><sub>Minhyeok Lee, Suhwan Cho, Chaewon Park, Dogyoon Lee, Jungho Lee, Sangyoun Lee</sub></sup>ICEIC<br />2024Paper
2022/11MGL-V2<br />MTLMGL: Mutual Graph Learning for Camouflaged Object Detection CVPR21 (MGL) extension<br/> <sup><sub>Qiang Zhai; Xin Li; Fan Yang; Zhicheng Jiao; Ping Luo; Hong Cheng; Zicheng Liu</sub></sup>TIP<br />2023Paper/Code
2022/11TCU-Net<br />MSCTCU-Net: Transformer and Convolutional Neural Network-Based Advanced U-Net for Concealed Object Detection<br/> <sup><sub>Kyeong-Beom Park; Jae Yeol Lee</sub></sup>IEEE Access<br />2022Paper
2022/10FindNet<br />MSC MS MTLFindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection<br> <sup><sub>Peng Li, Xuefeng Yan, Hongwei Zhu, Mingqiang Wei, Xiao-Ping Zhang, Jing Qin</sub></sup>TIP<br />2022Paper
2022/10MFFN <br />MSC MSMFFN: 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>WACV<br />2023Paper/Code
2022/10PreyNet <br />MSC MS MTLPreyNet: Preying on camouflaged objects <br> <sup><sub>M Zhang, S Xu, Yongri Piao, D Shi, S Lin, H Lu</sub></sup>ACM MM<br />2022Paper/Code
2022/10ELDNet<br />MSC MTLEldnet: Establishment and Refinement of Edge Likelihood Distributions for Camouflaged Object Detection<br /><sup><sub>Chiyuan He; Linfeng Xu; Zihuan Qiu</sub></sup>ICIP<br />2022Paper
2022/09EINet<br />MSCEINet: camouflaged object detection with pyramid vision transformer<br /><sup><sub>Chen Li, Ge Jiao</sub></sup>JEI<br />2022Paper
2022/09MAGNet<br />MSC MCMAGNet: A Camouflaged Object Detection Network Simulating the Observation Effect of a Magnifier<br /><sup><sub>Xinhao Jiang,Wei Cai,Zhili Zhang,Bo Jiang,Zhiyong Yang andXin Wang</sub></sup>Entropy<br />2022Paper/Code
2022/08NCHIT<br />MSCCamouflaged object detection via Neighbor Connection and Hierarchical Information Transfer<br /><sup><sub>Cong Zhang, Kang Wang, Hongbo Bi, Ziqi Liu, Lina Yang</sub></sup>CVIU<br />2022Paper
2022/07CRNet <br />MSC MSWeakly-Supervised Camouflaged Object Detection with Scribble Annotations S-COD dataset <br><sup><sub>Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W.H. Lau</sub></sup>AAAI<br />2023Paper/Code
2022/07PINet<br />MSCFinding the Achilles Heel: Progressive Identification Network for Camouflaged Object Detection <br> <sup><sub>Mu-Chun Chou, Hung-Jen Chen, Hong-Han Shuai</sub></sup>ICME<br />2022Paper/Code
2022/07BGNet<br />MSC MTLBoundary-Guided Camouflaged Object Detection <br> <sup><sub>Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang</sub></sup>IJCAI<br />2022Paper/Code
2022/07C2FNet-V2 <br />MSCCamouflaged Object Detection via Context-aware Cross-level Fusion C2FNet Extension <br> <sup><sub>Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou</sub></sup>TCSVT<br />2022Paper/Code
2022/07DTC-Net <br />MSCDeep Texton-Coherence Network for Camouflaged Object Detection <br> <sup><sub>Wei Zhai, Yang Cao, HaiYong Xie, Zheng-Jun Zha</sub></sup>TMM<br />2022Paper
2022/07BgNet<br />MSC MTLBoundary-guided network for camouflage object detection <br> <sup><sub>Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang</sub></sup>KBS<br />2022Paper/Code
2022/07CubeNet <br />MSC MTLCubeNet: X-shape connection for camouflaged object detection <br> <sup><sub>Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen</sub></sup>PR<br />2022Paper/Code
2022/07TPRNet<br />MSCTPRNet: camouflaged object detection via transformer-induced progressive refinement network <br/> <sup><sub>Qiao Zhang, Yanliang Ge, Cong Zhang & Hongbo Bi</sub></sup>TVC<br />2022Paper/Code
2022/07ANSANet<br />MSCAttention-based Neighbor Selective Aggregation Network for Camouflaged Object Detection <br/> <sup><sub>Yao Cheng; Hao-Zhou Hao; Yi Ji; Ying Li; Chun-Ping Liu</sub></sup>IJCNN<br />2022Paper
2022/07GMRNet<br />MSC MSGuided multi-scale refinement network for camouflaged object detection <br/> <sup><sub>Xiuqi Xu, Shuhan Chen, Xiao Lv, Jian Wang & Xuelong Hu</sub></sup>MTA<br />2022Paper
2022/07DACFNet<br />MSCCamouflaged Object Detection with Discriminative Information Attention and Cross-level Feature Fusion<br/> <sup><sub>Xinyue Li; Lin Li; Shiyao Jiang; Miao Yang; Lin Qi</sub></sup>ICIVC<br />2022Paper
2022/06FEMNet<br />MSC MSIDetecting Camouflaged Object in Frequency Domain <br> <sup><sub>Yijie Zhong, Bo Li, Lv Tang, et al.</sub></sup>CVPR<br />2022Paper
2022/06BSA-Net <br />MSC MS MTLI 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>AAAI<br />2022Paper/Code
2022/06SegMaR <br />MSC MSSegment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way <br> <sup><sub>Qi Jia, S. Yao, Yu Liu, et al.</sub></sup>CVPR<br />2022Paper/Code
2022/06ZoomNet <br />MSC MSZoom 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>CVPR<br />2022Paper/Code
2022/06FBNet <br />MSC MSIFrequency-aware Camouflaged Object Detection <br> <sup><sub>Jiaying Lin, Xin Tan, Ke Xu, Lizhuang Ma, Rynson W.H. Lau</sub></sup>TOMM<br />2022Paper
2022/05DGNet<br />MSC MTLDeep Gradient Learning for Efficient Camouflaged Object Detection <br><sup><sub>Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool</sub></sup>MIR<br />2023Paper/Code
2022/05LSRNet-V2<br />MS MTLTowards Deeper Understanding of Camouflaged Object Detection LSR extension <br> <sup><sub>Yunqiu Lv, Jing Zhang, Yuchao Dai, et al.</sub></sup>TCSVT<br />2023Paper/Code
2022/05DTINet<br />MS MTLBoosting Camouflaged Object Detection with Dual-Task Interactive Transformer <br/> <sup><sub>Zhengyi Liu, Zhili Zhang, Wei Wu</sub></sup>ICPR<br />2022Paper/Code
2022/03HitNet <br />MSCHigh-resolution Iterative Feedback Network for Camouflaged Object Detection <br> <sup><sub>Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao</sub></sup>AAAI<br />2023Paper/Code
2022/03IIE-CIA<br />MSC MSToward Accurate Camouflaged Object Detection With In-Layer Information Enhancement and Cross-Layer Information Aggregation<br/> <sup><sub>Hongbo Bi; Cong Zhang; Kang Wang; Ranwan Wu</sub></sup>TCDS<br />2022Paper
2022/01OCENet<br />MSC MTLModeling Aleatoric Uncertainty for Camouflaged Object Detection <br> <sup><sub>Jiawei Liu, Jing Zhang, Nick Barnes</sub></sup>WACV<br />2022Paper/Code
2021/11ERRNet <br />MSC MS MTLFast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network <br><sup><sub>Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu</sub></sup>PR<br />2022Paper/Code
2021/11POCINet<br />MSC MSIntegrating Part-Object Relationship and Contrast for Camouflaged Object Detection <br><sup><sub>Yi Liu, Dingwen Zhang, Qiang Zhang, and Jungong Han</sub></sup>TIFS<br />2021Paper/Code
2021/10BgCod<br />MSC MTLBoundary guidance network for camouflage object detection<br/><sup><sub>Xiuqi Xu, Mingyu Zhu, Jinhao Yu, Shuhan Chen, Xuelong Hu, Yuequan Yang</sub></sup>IVC<br />2021Paper
2021/10UR-COD<br />MTLImproving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels<br/><sup><sub>Nobukatsu Kajiura, Hong Liu, Shin'ichi Satoh</sub></sup>ACM MM<br />2021Paper/Code
2021/10UGTR <br />MTLUncertainty-Guided Transformer Reasoning for Camouflaged Object Detection <br><sup><sub>Fan Yang, Qiang Zhai, Xin Li, Rui Huang, et al.</sub></sup>ICCV<br />2021Paper/Code
2021/07CODCEF<br />MSCCascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing<br/><sup><sub>Kaihong Huang, ORCID,Chunshu Li, Jiaqi Zhang and Beilun Wang</sub></sup>Sensors<br />2021Paper/Code
2021/07ACDNet<br />MSC MSACDNet with ASPP for Camouflaged Object Detection<br/><sup><sub>Qihui Zhu</sub></sup>ICAIIS<br />2021Paper
2021/06UJSCOD <br />MTL JSUncertainty-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>CVPR<br />2021Paper/Code
2021/06LSRNet<br />MS MTLSimultaneously Localize, Segment and Rank the Camouflaged Objects NC4K dataset <br><sup><sub>Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, et al.</sub></sup>CVPR<br />2021Paper/Code
2021/06PFNet <br />MSC MSCamouflaged Object Segmentation with Distraction Mining <br><sup><sub>Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan</sub></sup>CVPR<br />2021Paper/Code
2021/06MGL <br />MTLMutual Graph Learning for Camouflaged Object Detection <br><sup><sub>Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan</sub></sup>CVPR<br />2021Paper/Code
2021/05C2FNet <br />MSCContext-aware Cross-level Fusion Network for Camouflaged Object Detection <br><sup><sub>Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu</sub></sup>IJCAI<br />2021Paper/Code
2021/05TINet <br />MSC MTLInferring Camouflaged Objects by Texture-Aware Interactive Guidance Network <br><sup><sub>Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu</sub></sup>AAAI<br />2021Paper
2021/05BASNet <br />MSCBoundary-Aware Segmentation Network for Mobile and Web Applications <br> <sup><sub>Xuebin Qin, Deng-Ping Fan, Chenyang Huang, et al.</sub></sup>arXiv<br />2021Paper/Code
2021/03D2CNet<br />MSC MSD2C-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>TIE<br />2021Paper/Code
2021/02SINet-V2 <br />MSC MSConcealed Object Detection COD10K dataset<br><sup><sub>Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao</sub></sup>TPAMI<br />2022Paper/Code
2021/02TANet <br />MSCDeep Texture-Aware Features for Camouflaged Object Detection <br><sup><sub>Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, et al.</sub></sup>TCSVT<br />2021Paper
2021/01MCIF-Net <br />MSCAccurate Camouflaged Object Detection via Mixture Convolution and Interactive Fusion <br> <sup><sub>Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen</sub></sup>arXiv<br />2021Paper
2020/07MirrorNet <br />MSMirrorNet: 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>IEEE Access<br />2021Paper/Project
2020/04PDLF<br />Image GenerationDeep Camouflage Images<br><sup><sub>Qing Zhang, Gelin Yin, Yongwei Nie, Wei-Shi Zheng</sub></sup>AAAI<br />2020Paper
2020/06SINet<br />MSC MSCamouflaged Object Detection COD10K dataset<br><sup><sub>Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao</sub></sup>CVPR<br />2020Paper/Code
2019/07ANet<br />MS MTLAnabranch network for camouflaged object segmentation CAMO dataset <br><sup><sub>Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto</sub></sup>CVIU<br />2019Paper/Code/Project
2018/04CPDDNet<br />MSCDetection of People With Camouflage Pattern Via Dense Deconvolution Network CPD1K dataset <br><sup><sub>Yunfei Zheng, Xiongwei Zhang, Feng Wang, Tieyong Cao, Meng Sun, Xiaobing Wang</sub></sup>SPL<br />2019Paper/Code
<span id = "RGB-D-COD">1.1.1.2 RGB-D COD</span>
ReleaseMethod<br />TitlePub.Links
2024/07DSAM<br />MSIExploring 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>ACM MM<br />2024Paper/Code
2024/05DAF-Net<br />MSC MSIDepth Awakens: A Depth-perceptual Attention Fusion Network for RGB-D Camouflaged Object Detection<br/><sup><sub>Xinran Liua, Lin Qia, Yuxuan Songa, Qi Wen</sub></sup>IVC<br />2024Paper/Code
2024/04RISNet <br />MSC MSIDepth-Aware Concealed Crop Detection in Dense Agricultural Scenes ACOD-12K dataset <br/> <sup><sub>Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng</sub></sup>CVPR<br />2024Paper/Code
2023/10DaCOD<br />MSIDepth-aided Camouflaged Object Detection <br> <sup><sub>Qingwei Wang,Jinyu Yang,Xiaosheng Yu,Fangyi Wang,Peng Chen,Feng Zheng</sub></sup>ACM MM<br />2023Paper/Code
2023/05XMSNet<br />MSC MSIObject 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>ACM MM<br />2023Paper/Code
2022/12PopNet<br />MSISource-free depth for object pop-out <br><sup><sub>Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool</sub></sup>ICCV<br />2023Paper/Code
2021/06DCE <br />MTL MSIExploring Depth Contribution for Camouflaged Object Detection <br> <sup><sub>Mochu Xiang, Jing Zhang, Yunqiu Lv, et al.</sub></sup>arXiv<br />2021Paper
<span id = "112-Novel-task-setting">1.1.2 Novel-task setting</span>
ReleaseMethodTitlePub.LinksTask
2023/11OVCoserOpen-Vocabulary Camouflaged Object SegmentationOVCamo dataset<br/><sup><sub>Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu</sub></sup>ECCV<br/>2024PaperOVCOS
2023/11MLKGLarge 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>arXiv<br />2023PaperRefCOD
2023/10BBNet<br />Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark CoCOD8K dataset <br> <sup><sub>Cong Zhang, Hongbo Bi, Tian-Zhu Xiang, Ranwan Wu, Jinghui Tong, Xiufang Wang</sub></sup>TNNLS<br />2023Paper/CodeCoCOD
2023/06R2CNetReferring Camouflaged Object Detection R2C7K dataset<br/><sup><sub>Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng</sub></sup>arXiv<br />2023Paper/CodeRefCOD
2023/08UCOS-DAUnsupervised Camouflaged Object Segmentation as Domain Adaptation<br/> <sup><sub>Yi Zhang; Chengyi Wu</sub></sup>ICCVW<br />2023Paper/CodeUCOS

<span id = "12-Video-level-COD">1.2 Video-level COD(VCOD)</span>

<span id = "121-End-to-end-framework">1.2.1 End-to-end framework</span>
ReleaseMethodTitlePub.Links
2024/09-When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation<br/> <sup><sub>Yuli Zhou, Guolei Sun, Yawei Li, Luca Benini, Ender Konukoglu</sub></sup>arXiv<br />2024Paper
2024/06SAM-PMSAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention<br/><sup><sub>Muhammad Nawfal Meeran, Gokul Adethya T, Bhanu Pratyush Mantha</sub></sup>CVPR Ws<br />2024Paper/Code
2024/03EMIPExplicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection<br/><sup><sub>Xin Zhang, Tao Xiao, Gepeng Ji, Xuan Wu, Keren Fu, Qijun Zhao</sub></sup>arXiv<br />2024Paper
2024/02TSP-SAMEndow 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>CVPR<br />2024Paper/Code
2024/02IMEXImplicit-Explicit Motion Learning for Video Camouflaged Object Detection<br/> <sup><sub>Wenjun Hui; Zhenfeng Zhu; Guanghua Gu; Meiqin Liu; Yao Zhao</sub></sup>TMM<br />2024Paper
2023/11TMNetTokenMotion: 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, Sanjeev Agarwal, Fengbo Ren</sub></sup>ICASSP<br />2024Paper
2023/10ZoomNeXtZoomNeXt: 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>TPAMI<br />2024Paper/Code
<span id = "122-Two-step-framework">1.2.2 Two-step framework</span>
ReleaseMethodTitlePub.Links
2023/09CAMEVALThe Making and Breaking of Camouflage camouflage scores function<br> <sup><sub>Hala Lamdouar, Weidi Xie, Andrew Zisserman</sub></sup>ICCV<br />2023Paper/Code
2022/08OFSEM-driven unsupervised learning for efficient motion segmentation <br> <sup><sub>Etienne Meunier, Ana¨ıs Badoual, and Patrick Bouthemy.</sub></sup>TPAMI<br />2022Paper/Code
2022/07OCLRSegmenting Moving Objects via an Object-Centric Layered Representation <br> <sup><sub>Junyu Xie, Weidi Xie, Andrew Zisserman.</sub></sup>NeurIPS<br />2022Paper
2022/06SLTNetImplicit Motion Handling for Video Camouflaged Object Detection MoCA-Mask dataset <br> <sup><sub>Xuelian Cheng, Huan Xiong, Deng-Ping Fan, et al.</sub></sup>CVPR<br />2022Paper/Code
2022/06QSDIA 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>CVPR<br />2022Paper/Code/Project
2022/03RCFThe Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields <br> <sup><sub>Pia Bideau, Erik Learned-Miller, Cordelia Schmid, et al.</sub></sup>IJCV<br />2022Paper
2021/11SIMOSegmenting Invisible Moving Objects <br> <sup><sub>Hala Lamdouar, Weidi Xie, and Andrew Zisserman.</sub></sup>BMVC<br />2021Paper/Project
2021/04MGSelf-Supervised Video Object Segmentation by Motion Grouping <br> <sup><sub>Charig Yang, Hala Lamdouar, Erika Lu, et al.</sub></sup>ICCV<br />2021Paper/Code/Project
2020/11VRSBetrayed By Motion: Camouflaged Object Discovery via Motion Segmentation MoCA dataset<br> <sup><sub>Hala Lamdouar, Charig Yang, Weidi Xie,et al.</sub></sup>ACCV<br />2020Paper/Code
2018/12FMCObject discovery in videos as foreground motion clustering <br> <sup><sub>Christopher Xie, Yu Xiang, Zaid Harchaoui, et al.</sub></sup>CVPR<br />2019Paper

<span id = "2-transparent-object-segmentationtos">2. Transparent Object Segmentation(TOS)</span>

ReleaseMethodTitlePub.Links
2024/01-Scanning and Affordance Segmentation of Glass and Plastic Bottles<br /><sup><sub>Floris Erich; Noriaki Ando; Yusuke Yoshiyasu</sub></sup>SII<br />2024Paper
2023/11CGSDNetCGSDNet: Cascade Network with ConvNeXt as Backbone for Glass Surface Detection<br /><sup><sub>Zeyuan Chen; Masahiko Mikawa; Makoto Fujisawa</sub></sup>ICAICA<br />2023Paper
2023/06-A Novel Transparent Object Detection Approach Based on Segmentation-Depth Reconstruction<br /><sup><sub>Zhonglin Li; Yang Luo; Yunxiang Jiang; Bi Zhang; Guoli Song; Xingang Zhao; Yiwen Zhao</sub></sup>RCAR<br />2023Paper
2023/06BCNetBoundary Cue Guidance and Contextual Feature Mining for Glass Segmentation<br /><sup><sub>Qiquan Xiao; Yuan Zhang; Xuanya Li; Kai Hu</sub></sup>ICASSP<br />2023Paper
2023/03TROSNetTROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice<br /><sup><sub>Tianyu Sun; Guodong Zhang; Wenming Yang; Jing-Hao Xue; Guijin Wang</sub></sup>TCSVT<br />2023Paper
2022/04-Glass Segmentation with RGB-Thermal Image Pairs<br /><sup><sub>Dong Huo, Jian Wang, Yiming Qian, Yee-Hong Yang</sub></sup>TIP<br />2023Paper/Code
2022/03ClearPoseClearPose: Large-scale Transparent Object Dataset and Benchmark ClearPose dataset<br /><sup><sub>Xiaotong Chen, Huijie Zhang, Zeren Yu, Anthony Opipari, Odest Chadwicke Jenkins</sub></sup>ECCV <br />2022Paper/Code
2022/03Trans4TransTrans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance<br /><sup><sub>Jiaming Zhang; Kailun Yang; Angela Constantinescu; Kunyu Peng; Karin Müller; Rainer Stiefelhagen</sub></sup>TITS<br />2022Paper
2021/10-Real-time Transparent Object Segmentation Based on Improved DeepLabv3+<sup><sub>Zhengguang Xu; Benshan Lai; Li Yuan; Tao Liu</sub></sup>CAC<br />2021Paper
2021/01Trans2SegSegmenting Transparent Object in the Wild with Transformer Trans10K-v2 dataset<br /><sup><sub>Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo</sub></sup>IJCAI<br />2021Paper/Code
2020/06GDNetDon’t Hit Me! Glass Detection in Real-world Scenes GDD dataset<br /><sup><sub>Haiyang Mei, Xin Yang, Yang Wang, Yuanyuan Liu, Shengfeng He, Qiang Zhang, Xiaopeng Wei, Rynson W.H. Lau</sub></sup>CVPR<br />2020Paper/Code
2020/06-Deep Polarization Cues for Transparent Object Segmentation<br /><sup><sub>Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar, Achuta Kadambi</sub></sup>CVPR<br />2020Paper
2020/05-Single-Stage Semantic Segmentation from Image Labels<br /><sup><sub>Nikita Araslanov, Stefan Roth</sub></sup>CVPR<br />2020Paper/Code
2020/03TransLabSegmenting Transparent Objects in the Wild Trans10K dataset<br /><sup><sub>Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo</sub></sup>ECCV<br />2020Paper/Code
2019/11-Simultaneous Transparent and Non-Transparent Object Segmentation With Multispectral Scenes<br /><sup><sub>Atsuro Okazawa; Tomoyuki Takahata; Tatsuya Harada</sub></sup>IROS<br />2019Paper
2018/03TOM-NetTOM-Net: Learning Transparent Object Matting from a Single Image TOM-Net dataset<br /><sup><sub>Guanying Chen, Kai Han, Kwan-Yee K. Wong</sub></sup>CVPR<br />2018Paper/Code
2015/11TransCutTransCut: Transparent Object Segmentation from a Light-Field Image TransCut dataset<br /><sup><sub>Yichao Xu, Hajime Nagahara, Atsushi Shimada, Rin-ichiro Taniguchi</sub></sup>ICCV<br />2015Paper
2011/09-Transparent object detection using color image and laser reflectance image for mobile manipulator<br /><sup><sub>Zhong Lei; Kazunori Ohno; Masanobu Tsubota; Eijiro Takeuchi; Satoshi Tadokoro</sub></sup>ICRB<br />2011Paper

<span id = "p_SDD">3. Surface Defect Detection(SDD)</span>

ReleaseMethodTitlePub.Links
2023/12-Transformer and Feature Enhancement for Lightweight Rail Surface Defect Detection<br /><sup><sub>Baoqu Gao; Jing Peng</sub></sup>ITAIC<br />2023Paper
2023/11MFAM-NetMFAM-Net:A Surface Defect Detection Network for Strip Steel via Multiscale Feature Fusion and Attention Mechanism<br /><sup><sub>Qingtian Zeng; Daibai Wei; Xue Zhang; Quan Gan; Qihong Wang; Minghao Zou</sub></sup>NTCI<br />2023Paper
2023/11-Metal Surface Defect Detection Algorithm Based on Improved YOLOv5<br /><sup><sub>Xiaodong Su; Fengchun Zhang; Yurong Zhang; Hongyan Xu; Xu Chen</sub></sup>ITOEC<br />2023Paper
2023/09-Improved Yolov5n strip surface defect detection algorithm<br /><sup><sub>Lin Tang; Le Cai Cai; Kui Cheng; Xinjie Wang; Chunlan Luo; Yunlong Zhao</sub></sup>SAFEPROCESS<br />2023Paper
2023/08-Piano Wooden Parts Paint Surface Defect Detection based on YOLO<br /><sup><sub>Haoping Li; Zhuhong Jin; Ronghua Meng; Wei Peng; Liuyang Cai</sub></sup>ICBAIE<br />2023Paper
2023/03-Design of Rail Surface Defect Detection System Based on LabVIEW Machine Vision<br /><sup><sub>Han Han; Liguo Tian; Meng Li; Xudong Cui; Chunhu Shang; Shidong Hou</sub></sup>ITNEC<br />2023Paper
2023/03-A Tiny Defect Detection System for Tire Mold Surfaces Based on Consecutive Frames<br /><sup><sub>Yu-Hung Lin; Shanq-Jang Ruan</sub></sup>TIM<br />2023Paper
2022/09-Surface Defect Detection of Aircraft Glass Canopy Based on Improved YOLOv4<br /><sup><sub>Jing Wang; Siwen Wei; Kexin Wang; Jianhong Li</sub></sup>ISCIT<br />2022Paper
2022/07-A Deep Learning Based Surface Defect Detection Method with Coarse Granularity for Corrugated Fuel Tubes<br /><sup><sub>Zongze Wu; Zizhuo Zhang; Jun Xu; Qiang Ling</sub></sup>CCC<br />2022Paper
2022/07-Surface Defect Detection of Steel Products Based on Improved YOLOv5<br /><sup><sub>Yajiao Liu; Jiang Wang; Haitao Yu; Fulong Li; Lifeng Yu; Chunhui Zhang</sub></sup>CCC<br />2022Paper
2022/06-A Surface Fatal Defect Detection Method for Magnetic Tiles based on Semantic Segmentation and Object Detection<br /><sup><sub>Zedong Zhu; Peiyuan Zhu; Jiaxing Zeng; Xiang Qian</sub></sup>ITAIC<br />2022Paper
2021/03-A Learning-Based Surface Defect Detection Method for Internal Surfaces of Bellows<br /><sup><sub>Zizhuo Zhang; Jun Xu; Song Wang; Feng Li; Qiang Ling</sub></sup>CCDC<br />2021Paper
2021/03-Surface Defects Detection and Identification of Lithium Battery Pole Piece Based on Multi-Feature Fusion and PSO-SVM<br /><sup><sub>Changlu Xu; Linsheng Li; Jiwei Li; Chuanbo Wen</sub></sup>IEEE AccessPaper
2021/01-A Detection and Identification Method Based on Machine Vision for Bearing Surface Defects<br /><sup><sub>Zhengyan Gu; Xiaohui Liu; Lisheng Wei</sub></sup>ICCCR<br />2021Paper
2020/10-Sanitary Ceramic Surface Defect Detection Method Based on Neighborhood Pixel Gray Information<br /><sup><sub>Jingfan Hang; Xianqiang Yang; Xinghu Yu</sub></sup>IECON<br />2020Paper
2019/11-A visual detection method of tile surface defects based on spatial-frequency domain image enhancement and region growing<br /><sup><sub>Guofeng Zou; Taotao Li; Guangya Li; Xiang Peng; Guixia Fu</sub></sup>CAC<br />2019Paper
2019/03-Segmentation Based Deep-Learning Approach for Surface Defect Detection KolektorSDD dataset<br /><sup><sub>Domen Tabernik, Samo Šela, Jure Skvarč, Danijel Skočaj</sub></sup>J Intell Manuf<br />2019Paper
2018/09-Fast Surface Defect Detection Using Improved Gabor Filters<br /><sup><sub>Jiaxu Ma; Yuxi Wang; Chen Shi; Cewu Lu</sub></sup>ICIP<br />2018Paper
2018/06-Surface Defect Detection Based on Gradient LBP<br /><sup><sub>Xiaojing Liu; Feng Xue; Lu Teng</sub></sup>ICIVC<br />2018Paper
2012/10-Unsupervised detection of surface defects: A two-step approach<br /><sup><sub>Jiwon Choi; Changick Kim</sub></sup>ICIP<br />2012Paper

<span id = "4-polyp-segmentationps">4. Polyp Segmentation(PS)</span>

ReleaseMethodTitlePub.Links
2024/01CCFNetCross-level Context Fusion Network for Polyp Segmentation in Colonoscopy Images<br /><sup><sub>Duanfang Cai; Kongcai Zhan; Youguo Tan; Xiaoyan Chen; Heng Luo; Guangyu Li</sub></sup>IEEE AccessPaper
2024/01DUSFormerDUSFormer: Dual-Swin Transformer V2 Aggregate Network for Polyp Segmentation<br /><sup><sub>Zhangrun Xia; Jingliang Chen; Chengzhun Lu</sub></sup>IEEE AccessPaper
2023/12HybridVPSHybridVPS: Hybrid-Supervised Video Polyp Segmentation Under Low-Cost Labels<br /><sup><sub>Wenxue Li; Xinyu Xiong; Siying Li; Fugui Fan</sub></sup>SPL<br />2023Paper
2023/12UDnetUDnet: A Polyp Image Segmentation Method Based on Derivative Network<br /><sup><sub>Mengxin Li; Donghui Piao; Baofeng Wang</sub></sup>ICEACE<br />2023Paper
2023/12-DeeplabV3+ Driven Polyp Segmentation: Advancing Colonoscopy Diagnosis<br /><sup><sub>Nabil Ahmed; MD. Naimujjaman; Mahbuba Akhter; Hasan Monir</sub></sup>ICCIT<br />2023Paper
2023/10S2MES2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation<br /><sup><sub>An Wang, Mengya Xu, Yang Zhang, Mobarakol Islam & Hongliang Ren</sub></sup>MICCAI<br />2023Paper/Code
2023/04-Enhancing Polyp Segmentation Generalizability by Minimizing Images’ Total Variation<br /><sup><sub>Mahmood Haithami; Amr Ahmed; Iman Yi Liao; Hamid Jalab</sub></sup>ISBI<br />2023Paper
2023/04PST-NetUnpaired Image-to-Image Translation Based Domain Adaptation for Polyp Segmentation<br /><sup><sub>Xinyu Xiong; Siying Li; Guanbin Li</sub></sup>ISBI<br />2023Paper
2023/04FPNAn Accurate Polyp Segmentation Framework via Feature Secondary Fusion<br /><sup><sub>Yanzhou Su; Qingsong Xie; Jin Ye; Junjun He; Jian Cheng</sub></sup>ISBI<br />2023Paper
2023/04-Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use<br /><sup><sub>Yanzhou Su; Changjian Deng; Zhongying Deng; Jin Ye; Junjun He; Jian Cheng</sub></sup>ISBI<br />2023Paper
2022/09LDNetLesion-aware Dynamic Kernel for Polyp Segmentation<br /><sup><sub>Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu & Guanbin Li</sub></sup>MICCAI<br />2022Paper/Code
2022/09SSFormerStepwise Feature Fusion: Local Guides Global<br /><sup><sub>Jinfeng Wang, Qiming Huang, Feilong Tang, Jia Meng, Jionglong Su & Sifan Song</sub></sup>MICCAI<br />2022Paper/Code
2022/09LDNetLesion-Aware Dynamic Kernel for Polyp Segmentation<br /><sup><sub>Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu & Guanbin Li</sub></sup>MICCAI<br />2022Paper/Code
2022/09SSTANSemi-supervised Spatial Temporal Attention Network for Video Polyp Segmentation<br /><sup><sub>Xinkai Zhao, Zhenhua Wu, Shuangyi Tan, De-Jun Fan, Zhen Li, Xiang Wan & Guanbin Li</sub></sup>MICCAI<br />2022Paper/Code
2022/09TRFRNetTask-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation<br /><sup><sub>Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation</sub></sup>MICCAI<br />2022Paper/Code
2022/09PPFormerUsing Guided Self-Attention with Local Information for Polyp Segmentation<br /><sup><sub>Linghan Cai, Meijing Wu, Lijiang Chen, Wenpei Bai, Min Yang, Shuchang Lyu & Qi Zhao</sub></sup>MICCAI<br />2022Paper
2022/09CPC-TransToward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-Modal Representation Consistency<br /><sup><sub>Weijie Ma, Ye Zhu, Ruimao Zhang, Jie Yang, Yiwen Hu, Zhen Li & Li Xiang</sub></sup>MICCAI<br />2022Paper/Code
2022/09CTContrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection<br /><sup><sub>Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans & Gustavo Carneiro</sub></sup>MICCAI<br />2022Paper/Code
2022/09BoxPolypBoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations<br /><sup><sub>Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S. Kevin Zhou & Zhen Li</sub></sup>MICCAI<br />2022Paper
2022/08BCNetBoundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation<br/><sup><sub>Guanghui Yue, Wanwan Han, Bin Jiang, Tianwei Zhou, Runmin Cong, Tianfu Wang</sub></sup>IEEE JHBI<br />2022Paper
2022/05TGANetTGANet: Text-Guided Attention for Improved Polyp Segmentation<br /><sup><sub>Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali</sub></sup>MICCAI<br />2022Paper/Code
2022/03DCRNetDuplex Contextual Relation Network For Polyp Segmentation<br /><sup><sub>Zijin Yin; Kongming Liang; Zhanyu Ma; Jun Guo</sub></sup>ISBI<br />2022Paper/Code
2022/03CoFoAdversarial Contrastive Fourier Domain Adaptation for Polyp Segmentation<br /><sup><sub>Ta Duc Huy; Hoang Cao Huyen; Chanh D. T. Nguyen; Soan T. M. Duong; Trung Bui; Steven Q. H. Truong</sub></sup>ISBI<br />2022[Paper]([Adversarial Contrastive Fourier Domain Adaptation for Polyp Segmentation )/Code
2021/03AAU-NetAsymmetric Attention Upsampling: Rethinking Upsampling For Biological Image Segmentation<br /><sup><sub>Chunyu Dong; Qunfei Zhao; Kun Chen; Xiaolin Huang</sub></sup>ISBI<br />2021Paper
2020/03SSNSSN: A Stair-Shape Network for Real-Time Polyp Segmentation in Colonoscopy Images<br /><sup><sub>Ruiwei Feng; Biwen Lei; Wenzhe Wang; Tingting Chen; Jintai Chen; Danny Z. Chen; Jian Wu</sub></sup>ISBI<br />2020Paper
2019/04-Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN<br /><sup><sub>Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN</sub></sup>ISBI<br />2019Paper

<span id = "5-lung-nodule-detectionlnd">5. Lung Nodule Detection(LND)</span>

ReleaseMethodTitlePub.Links
2023/10-Detection and Localization of Lung Nodules by Accelerating Multi-dimensional Images using Graph Data Science<br /><sup><sub>Akhila Thejaswi R; Bellipady Shamantha Rai; Permanki Guthu Rithesh Pakkala; Niranjan Bhat; Nishanth V Poojary, etc.</sub></sup>DISCOVER<br />2023Paper
2023/08-Lung Nodule Classification Using MobileNet Transfer Learning<br /><sup><sub>Rajdeep Ghosh; Adnan Ahamed; Bikash Sadhukhan; Nabanita Das</sub></sup>ICSCC<br />2023Paper
2023/04CdcSegNetCdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images<br /><sup><sub>Ju Zhang; Dechen Chen; Dong Ma; Changgang Ying; Xiaoyan Sun; Xiaobing Xu; Yun Cheng</sub></sup>TIM<br />2023Paper
2022/12MHSnetMHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Lung Nodule Detection<br /><sup><sub>Juanyun Mai; Minghao Wang; Jiayin Zheng; Yanbo Shao; Zhaoqi Diao; Xinliang Fu; Yulong Chen; Jianyu Xiao; Jian You; Airu Yin; Yang Yang; Xiangcheng Qiu; Jinsheng Tao;Bo Wang; Hua Ji</sub></sup>BIBM<br />2022Paper
2022/10-A Coarse-to-Fine Morphological Approach with Knowledge-Based Rules and Self-Adapting Correction for Lung Nodules Segmentation<br /><sup><sub>Xinliang Fu; Jiayin Zheng; Juanyun Mai; Yanbo Shao; Minghao Wang; Linyu Li; Zhaoqi Diao; Yulong Chen; Jianyu Xiao, etc.</sub></sup>ICIP<br />2022Paper
2022/10RACNSemi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules<br /><sup><sub>Yu Fu; Peng Xue; Taohui Xiao; Zhili Zhang; Youren Zhang; Enqing Dong</sub></sup>JBHI<br />2023Paper
2022/09-Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories<br /><sup><sub>Le Yi; Lei Zhang; Xiuyuan Xu; Jixiang Guo</sub></sup>TMI<br />2023Paper
2022/08LSSANetLSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection<br /><sup><sub>Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang</sub></sup>MICCAI<br />2022Paper/Code
2021/03SANetSANet: A Slice-Aware Network for Pulmonary Nodule Detection PN9 dataset<br /><sup><sub>Domen Tabernik, Samo Šela, Jure Skvarč, Danijel Skočaj</sub></sup>TPAMI<br />2021Paper/Code
2020/01-Detection and Recognition of Lung Nodules in Medical Images Using Chaotic Ant Colony Algorithm<br /><sup><sub>Jinxia Li; Hongbo Zhao; Yanni Yang</sub></sup>ICMTMA<br />2020Paper
2018/10MV-KBCKnowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT<br /><sup><sub>Yutong Xie; Yong Xia; Jianpeng Zhang; Yang Song; Dagan Feng; Michael Fulham; Weidong Cai</sub></sup>TMI<br />2019Paper
2018/03DeepLungDeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification<br /><sup><sub>Wentao Zhu; Chaochun Liu; Wei Fan; Xiaohui Xie</sub></sup>WACV<br />2018Paper
2016/03ConvNetsPulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks<br /><sup><sub>Arnaud Arindra Adiyoso Setio; Francesco Ciompi; Geert Litjens; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands , etc. </sub></sup>TMI<br />2016Paper
2014/08-Artificial neural network-based classification system for lung nodules on computed tomography scans<br /><sup><sub>Emre Dandıl; Murat Çakiroğlu; Ziya Ekşi; Murat Özkan; Özlem Kar Kurt; Arzu Canan</sub></sup>SoCPaR<br />2014Paper

<span id = "Datasets">Datasets</span>

<span id = "1-camouflaged-object-detectioncod-1">1. Camouflaged Object Detection(COD)</span>

The basic information of both image-level and video-level COD datasets.

NameYearPub.LevelStatistics <br />Total | Train | TestResolutionObjectsLabels
OVCamo2023arXivI11483 | 7713 | 3770300x199~2976x3968animals&humansCls.(75) Obj. Uns.
R2C7K2023arXivI6615 | - | -Camo: 300x199~2976x3968<br />Ref: 240x320~9500x9500animals&humans<br />N.CamCls.(64) Obj. Ref.
CoCOD8K2023TNNLSI8528 | 5933 |2595154x156~5184x3456animals&humansCls.(70) Obj. Gro.
CDS2K2023VII2492 | 0 |2492322x320~1024x1024industrial defect<br />N.Cam.Cls.(18) B.Box Obj.
CAM-LDR2023TCSVTI6066 | 4040 |2026155x155~7360x4912animals&humansFix. Obj. Ins. Ran.
S-COD2023AAAII4040 | 4040 | 0155x155~7360x4912animals&humansScr.
COD10K2022TPAMII10000 | 6000 | 4000300x199~2976x3968animals&humans<br />N.CamCls.(78) B.Box Obj. Ins.
CAMO++2022TIPI5500 | 3500 | 2000unreleasedanimals&humans<br />N.CamCls.(93) B.Box Obj. Ins.
MoCA-Mask2022CVPRV22939 | 19313 | 3626480x360~1920x1080animalsCls.(44) B.Box Obj.
CAM-FR2021CVPRI2280 | 2000 | 280155x155~7360x4912animals&humansFix. Obj. Ins. Ran.
NC4K2021CVPRI4121 | 0 | 4121354x268~1280x960animalsObj. Ins.
MoCA2020ACCVV37250 | 0 | 37250480x360~1920x1080animalsCls.(67) B.Box
CAMO-COCO2019CVIUI2500 | 2000 | 500154x156~7360x4912animals&humans<br />N.Cam.Obj.
CPD1K2018SPLI1000 | 0 | 1000854x480peopleObj.
CHAMELEON2017-I76 | 0 | 76450x300~2304x3456animalsObj.
CAD20162016ECCVV836 | 0 | 836640x360animalsCls.(6) Obj.

<span id = "2-transparent-object-segmentationtos-1">2. Transparent Object Segmentation(TOS)</span>

NameYearPub.Linkslevel
ClearPose2022ECCVPaperImage
Trans10K-v22021IJCAIPaperImage
GDD2020CVPRPaperImage
Trans10K2020ECCVPaperImage
TOM-Net2018CVPRPaperImage
TransCut2015ICCVPaperImage

<span id = "3-surface-defect-detectionsdd-1">3. Surface Defect Detection(SDD)</span>

NameYearPub.Linkslevel
MVTecAD2021IJCVPaperImage
NEU <br />(spot defect)2021TIMPaperImage
MagneticTile defect2020VCPaperImage
KolektorSDD2019CVPRPaperImage
NEU <br />(steel pit defect)2019TIMPaperImage
CrackForest2016TITSPaperImage
NEU<br /> (oil pollution defect)2014ISIJPaperImage
DAGM--WebpageImage

<span id = "4-polyp-segmentationps-1">4. Polyp Segmentation(PS)</span>

NameYearPub.Linkslevel
LDPolypVideo2021MICCAIPaperVideo
Kvasir-SEG2020MMMPaperImage
EndoScene2017J HEALTHC ENGPaperImage
CVC-ColonDB2016IEEE TMIPaperImage
CVC-ClinicDB2015CMIGPaperImage
ETIS2013Int J Comput Assist Radiol SurgPaperImage
ASU-Mayo--WebpageImage

<span id = "5-lung-nodule-detectionlnd-1">5. Lung Nodule Detection(LND)</span>

NameYearPub.Linkslevel
PN92021TPAMIPaperImage

<span id = "related-surveys-recommended">Related Surveys Recommended</span>

A Survey of Camouflaged Object Detection and Beyond COD <br/>arxiv 2024. [Paper] [Code]<br/>Aug. 2024

Advances in deep concealed scene understanding COD CDS2K dataset<br/>VI 2023. [Paper] [Code]<br/>Aug. 2023

A systematic review of image-level camouflaged object detection with deep learning COD<br/>Neucom 2024. [Paper]<br/>Jan. 2024

Rethinking Camouflaged Object Detection: Models and Datasets COD<br/> TCSVT 2021. [Paper]<br/>Nov. 2021

Advancements in Optimization Algorithms for Lung Nodule Detection and Classification: A Review LND<br/>ICOTL 2023. [Paper]<br/>Dec. 2023

Detection of Lung Nodules using Convolution Neural Network: A Review LND<br/>ICIRCA 2020. [Paper]<br/>Jul. 2020

<span id = "reference">Reference</span>

SINet-V2/AWESOME_COD_LIST.md

visionxiang/awesome-camouflaged-object-detection

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