🔥A curated list of awesome Concealed Object Segmentation(COS) works.🔥
Please feel free to offer your suggestions in the Issues and pull requests to add links.
[ Last updated at 2025/01/08 ]
A Survey of Camouflaged Object Detection and Beyond
Fengyang Xiao, Sujie Hu, Yuqi Shen, Chengyu Fang, Jinfa Huang, Chunming He, Longxiang Tang, Ziyun Yang, Xiu Li
CAAI AIR, 2024. [Paper] [Code]
Nov. 2024
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={CAAI AIR},
year={2024}
}
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation ProMaC
Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong
NeurIPS, 2024. [Paper] [Code]
Sep. 2024
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.
- Multi-scale-context (MSC)
- Mechanism-simulation (MS)
- Multi-source information fusion (MSI)
- Multi-task learning (MTL)
- Joint-SOD (JS)
Release | Method | Title |
Pub. | Links |
---|---|---|---|---|
2024/12 | USCOD | Unconstrained Salient and Camouflaged Object Detection Z Zhou, Y Li, C Zhong, J Huang, J Pei, H Tang |
arXiv 2024 |
Paper |
2024/11 | COMPrompter | COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection X Zhang, Z Yu, L Zhao, DP Fan, G Xiao |
SCIS 2024 |
Paper/Code |
2024/10 | PCNet | PlantCamo: Plant Camouflage Detection PlantCamo dataset Jinyu Yang, Qingwei Wang, Feng Zheng, Peng Chen, Aleš Leonardis, Deng-Ping Fan |
arXiv 2024 |
Paper/Code |
2024/10 | MCRNet | Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection Dingwen Zhang, Liangbo Cheng, Yi Liu, Xinggang Wang, Junwei Han |
arXiv 2024 |
Paper/Code |
2024/09 | MM-CamObjMSI MTL |
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object ScenariosMM-CamObj dataset Jiacheng Ruan, Wenzhen Yuan, Zehao Lin, Ning Liao, Zhiyu Li, Feiyu Xiong, Ting Liu, Yuzhuo Fu |
arXiv 2024 |
Paper |
2024/09 | FGSA-NetMSC MSI |
Frequency-Guided Spatial Adaptation for Camouflaged Object Detection Shizhou Zhang, Dexuan Kong, Yinghui Xing, Yue Lu, Lingyan Ran, Guoqiang Liang, Hexu Wang, Yanning Zhang |
TMM 2024 |
Paper |
2024/09 | GLCONetMSC |
GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection Yanguang Sun, Hanyu Xuan, Jian Yang, Lei Luo |
TNNLS 2024 |
Paper/Code |
2024/09 | FSELMSC MSI |
Frequency-Spatial Entanglement Learning for Camouflaged Object Detection Yanguang Sun, Chunyan Xu, Jian Yang, Hanyu Xuan, Lei Luo |
ECCV 2024 |
Paper/Code |
2024/09 | SDRNetMSC MTL |
SDRNet: Camouflaged object detection with independent reconstruction of structure and detail Juwei Guan, Xiaolin Fang, Tongxin Zhu, Weiqi Qian |
KBS 2024 |
Paper/Code |
2024/08 | ProMaCMSC MSI |
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong |
NeurIPS 2024 |
Paper/Code |
2024/08 | ACUMENMSI MTL |
Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and Visual Analysis StrategyCOD-TAX dataset Hong Zhang, Yixuan Lyu, Qian Yu, Hanyang Liu, Huimin Ma, Ding Yuan, Yifan Yang |
ECCV 2024 |
Paper/Code |
2024/08 | PSCODMSC MS |
Just a Hint: Point-Supervised Camouflaged Object DetectionP-COD dataset Huafeng Chen, Dian Shao, Guangqian Guo, Shan Gao |
ECCV 2024 |
Paper |
2024/08 | SAM-CODMSC MSI |
SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao |
ECCV 2024 |
Paper |
2024/08 | CamoTeacherMSI |
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji |
ECCV 2024 |
Paper |
2024/08 | IdeNetMSC MS |
IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures Juwei Guan; Xiaolin Fang; Tongxin Zhu; Zhipeng Cai; Zhen Ling; Ming Yang; Junzhou Luo |
TIP 2024 |
Paper/Code |
2024/08 | MCA-SAMAdaptor |
Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes Ke Zhou, Zhongwei Qiu, Dongmei Fu |
Neurocomputing 2024 |
Paper |
2024/08 | HGINetMSC |
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection Siyuan Yao, Hao Sun, Tian-Zhu Xiang, Xiao Wang, Xiaochun Cao |
TIP 2024 |
Paper/Code |
2024/08 | SAM2-UNetMSC |
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation Xinyu Xiong, Zihuang Wu, Shuangyi Tan, Wenxue Li, Feilong Tang, Ying Chen, Siying Li, Jie Ma, Guanbin Li |
arXiv 2024 |
Paper/Code |
2024/08 | SAM2-AdapterAdapter |
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More Tianrun Chen, Ankang Lu, Lanyun Zhu, Chaotao Ding, Chunan Yu, Deyi Ji, Zejian Li, Lingyun Sun, Papa Mao, Ying Zang |
CoRR 2024 |
Paper |
2024 | DCPNetMSC MTL |
Dual cross perception network with texture and boundary guidance for camouflaged object detection Yaming Wang, Jiatong Chen, Xian Fang, Mingfeng Jiang, Jianhua Ma |
CVIU 2024 |
Paper |
2024/07 | Technical Report |
Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2 Lv Tang, Bo Li |
arXiv 2024 |
Paper/Code |
2024/07 | WSSCODMSC MSI |
Learning Camouflaged Object Detection from Noisy Pseudo Label Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan |
ECCV 2024 |
Paper |
2024/07 | FocusDiffuserDiffusion Model |
FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai, Ao Luo, Zicheng Jiao, Hong Cheng |
ECCV 2024 |
Paper/Code |
2024/05 | SpiderMSI MTL |
Spider: A Unified Framework for Context-dependent Concept Segmentation Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu |
ICML 2024 |
Paper/Code |
2024/05 | TJNetMSC MS MTL |
Two guidance joint network based on coarse map and edge map for camouflaged object detection Zhe Tang, Jing Tang, Dengpeng Zou, Junyi Rao & Fang Qi |
AI 2024 |
Paper/Code |
2024/05 | GreenCODMSC |
GreenCOD: A Green Camouflaged Object Detection Method Hong-Shuo Chen, Yao Zhu, Suya You, Azad M. Madni, C.-C. Jay Kuo |
arXiv 2024 |
Paper/Project |
2024/05 | AGLNetMSC MSI |
Adaptive Guidance Learning for Camouflaged Object Detection Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang, Ying Tai |
arXiv 2024 |
Paper/Code |
2024/04 | FS-CDIS MTL |
The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation CAMO-FS dataset 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 |
IEEE ACCESS 2024 |
Paper |
2024/04 | LAKE-REDDiffusion Model |
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang |
CVPR 2024 |
Paper/Code |
2024/04 | EANetMSC MTL |
Edge Attention Learning for Efficient Camouflaged Object Detection Zijian Liu; Ping Jiang; Lixin Lin; Xiaoheng Deng |
ICASSP 2024 |
Paper |
2024/03 | EPNetMSC MSI MTL |
Edge Perception Camouflaged Object Detection under Frequency Domain Reconstruction Zijian Liu; Xiaoheng Deng; Ping Jiang; Conghao Lv; Geyong Min; Xin Wang |
TCSVT 2024 |
Paper |
2024/02 | SENetJS MTL |
A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection Chao Hao, Zitong Yu, Xin Liu, Jun Xu, Huanjing Yue, Jingyu Yang |
arXiv 2024 |
Paper/Code |
2024/02 | SCLossloss function |
Spatial Coherence Loss for Salient and Camouflaged Object Detection and Beyond Ziyun Yang, Kevin Choy, Sina Farsiu |
arXiv 2024 |
Paper |
2024/02 | CoFiNetMSC |
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse Cunhan Guo, Heyan Huang |
arXiv 2024 |
Paper |
2024/02 | CCGNetMSC MTL |
Camouflaged Object Detection That Does Not Require Additional Priors Yuchen Dong,Heng Zhou,Chengyang Li,Junjie Xie,Yongqiang Xie and Zhongbo Li |
Appl. Sci 2024 |
Paper |
2024/01 | HCMMSC |
Concealed Object Segmentation with Hierarchical Coherence Modeling Fengyang Xiao, Pan Zhang, Chunming He, Runze Hu, Yutao Liu |
CAAI 2023 |
Paper |
2024/01 | PRNetMSC MS |
Efficient Camouflaged Object Detection Network Based on Global Localization Perception and Local Guidance Refinement Xihang Hu; Xiaoli Zhang; Fasheng Wang; Jing Sun; Fuming Sun |
TCSVT 2023 |
Paper/Code |
2024/01 | DINetMSC |
Decoupling and Integration Network for Camouflaged Object Detection Xiaofei Zhou; Zhicong Wu; Runmin Cong |
TMM 2024 |
Paper |
2024/01 | CamoFocusMSC MS |
CamoFocus: Enhancing Camouflage Object Detection With Split-Feature Focal Modulation and Context Refinement Abbas Khan, Mustaqeem Khan, Wail Gueaieb, Abdulmotaleb El Saddik, Giulia De Masi, Fakhri Karray |
WACV 2024 |
Paper/Code |
2023/12 | GenSAMMSI |
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects Jian Hu, Jiayi Lin, Weitong Cai, Shaogang Gong |
AAAI 2024 |
Paper/Code/Project |
2023/11 | OWinCANet MSC |
Cross-level Attention with Overlapped Windows for Camouflaged Object Detection Jiepan Li, Fangxiao Lu, Nan Xue, Zhuohong Li, Hongyan Zhang, Wei He |
arXiv 2023 |
Paper |
2023/11 | VSCodeJS MSI |
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning Ziyang Luo, Nian Liu, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Khan, Junwei Han |
CVPR 2024 |
Paper/Code |
2023/11 | CoVPMS |
Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li |
ACM MM 2024 |
Paper/Code |
2023/10 | FRINetMSC MSI MTL |
Frequency Representation Integration for Camouflaged Object Detection Chenxi Xie,Changqun Xia,Tianshu Yu,Jia Li |
ACM MM 2023 |
Paper/Code |
2023/10 | CINetMSC |
Camouflaged object detection with counterfactual intervention Xiaofei Li, Hongying Li, Hao Zhou, Miaomiao Yu, Dong Chen, Shuohao Li, Jun Zhang |
Neuro 2023 |
Paper |
2023/10 | PrObeDWrapper |
PrObeD: Proactive Object Detection Wrapper Vishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu |
NeurIPS 2023 |
Paper/Code |
2023/10 | PFRNetMSC |
You Do Not Need Additional Priors in Camouflage Object Detection Yuchen Dong, Heng Zhou, Chengyang Li, Junjie Xie, Yongqiang Xie, Zhongbo Li |
arXiv 2023 |
Paper |
2023/09 | DCNetMSC MS MTL |
Dual-Constraint Coarse-to-Fine Network for Camouflaged Object Detection Guanghui Yue; Houlu Xiao; Hai Xie; Tianwei Zhou; Wei Zhou; Weiqing Yan; etc. |
TCSVT 2023 |
Paper |
2023/08 | CMNetMSC JS MTL |
Finding Camouflaged Objects along the Camouflage Mechanisms Yang Yang; Qiang Zhang |
TCSVT 2023 |
Paper |
2023/08 | FPNetMSC MS MSI |
Frequency Perception Network for Camouflaged Object Detection Runmin Cong, Mengyao Sun, Sanyi Zhang, Xiaofei Zhou, Wei Zhang, Yao Zhao |
ACM MM 2023 |
Paper/Code |
2023/08 | diffCODDiffusion Model |
Diffusion Model for Camouflaged Object Detection Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin |
ECAI 2023 |
Paper/Code |
2023/08 | ZSCODMSC MTL |
Zero-Shot Camouflaged Object Detection Haoran Li; Chun-Mei Feng; Yong Xu; Tao Zhou; Lina Yao; Xiaojun Chang |
TIP 2023 |
Paper |
2023/08 | JCNetMSC JS MTL |
Camouflaged Object Segmentation Based on Joint Salient Object for Contrastive Learning Jiang, Xinhao aPopNetnd Cai, Wei and Ding, Yao and Wang, Xin and Hong, Danfeng and Yang, Zhiyong and Gao, Weijie |
TIM 2023 |
Paper/Code |
2023/08 | Camouflageator-ICEGMSC MS MTL |
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu |
ICLR 2024 |
Paper/Code |
2023/08 | PENetMSC MS MTL |
Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection Xiaofei Li; Jiaxin Yang; Shuohao Li; Jun Lei; Jun Zhang; Dong Chen |
IJCAI 2023 |
Paper |
2023/08 | ASBIMSC MTL |
Attention-induced semantic and boundary interaction network for camouflaged object detection Qiao Zhang, Xiaoxiao Sun, Yurui Chen, Yanliang Ge, Hongbo Bi |
CVIU 2023 |
Paper/Code |
2023/08 | TSFNetMSC MS |
Ternary symmetric fusion network for camouflaged object detection Yang Deng, Jianxin Ma, Yajun Li, M. Zhang, L. Wang |
API 2023 |
Paper |
2023/08 | CINetMSC |
A cross-level interaction network based on scale-aware augmentation for camouflaged object detection Ming Ma; Bangyong Sun |
TETCI 2023 |
Paper |
2023/08 | CamoFourierMSI MTL |
Unveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do |
arXiv 2023 |
Paper |
2023/08 | SCODEMTL |
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection Haichao Zhang, Can Qin, Yu Yin, Yun Fu |
arXiv 2023 |
Paper |
2023/07 | EAMNetMSC MTL |
Edge-Aware Mirror Network for Camouflaged Object Detection Dongyue Sun, Shiyao Jiang, Lin Qi |
ICME 2023 |
Paper/Code |
2023/07 | FDNetMSC |
Camouflaged Object Detection with Feature Grafting and Distractor Aware ACOD2K Yuxuan Song, Xinyue Li, Lin Qi |
ICME 2023 |
Paper/Code |
2023/07 | MRRNetMSC MS |
Camouflaged Object Segmentation Based on Matching–Recognition–Refinement Network Xinyu Yan; Meijun Sun; Yahong Han; Zheng Wang |
TNNLS 2023 |
Paper/Code |
2023/07 | UEDGMTL |
UEDG: Uncertainty-Edge Dual Guided Camouflage Object Detection Lyu, Yixuan and Zhang, Hong and Li, Yan and Liu, Hanyang and Yang, Yifan and Yuan, Ding |
TMM 2023 |
Paper/Code |
2023/07 | UJSCOD-V2MTL JS |
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware LearningUJSCOD extention Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, Yuchao Dai |
arXiv 2023 |
Paper/Code/Project |
2023/07 | PADMTL |
Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection Yinghui Xing, Dexuan Kong, Shizhou Zhang, Geng Chen, Lingyan Ran, Peng Wang, Yanning Zhang |
arXiv 2023 |
Paper |
2023/07 | PUENetMSC MTL |
Predictive Uncertainty Estimation for Camouflaged Object Detection Yi Zhang, Jing Zhang, Wassim Hamidouche, Olivier Deforges |
TIP 2023 |
Paper/Code |
2023/07 | AGNetMSC MS MTL |
Alternate guidance network for boundary-aware camouflaged object detection Jinhao Yu, Shuhan Chen, Lu Lu, Zeyu Chen, Xiuqi Xu, Xuelong Hu & Jinrong Zhu |
MVA 2023 |
Paper |
2023/06 | OPNetMSC MS |
Camouflaged Object Segmentation with Omni Perception Haiyang Mei, Ke Xu, Yunduo Zhou, Yang Wang, Haiyin Piao, Xiaopeng Wei, Xin Yang |
IJCV 2023 |
Paper |
2023/06 | CFANetMSC |
CFANet: A Cross-layer Feature Aggregation Network for Camouflaged Object Detection Qing ZhangWeiqi Yan |
ICME 2023 |
Paper/Code |
2023/06 | TinyCODMSC |
TINYCOD: Tiny and Effective Model for Camouflaged Object Detection Haozhe Xing; Shuyong Gao; Hao Tang; Tsui Qin Mok; Yanlan Kang; Wenqiang Zhang |
ICASSP 2023 |
Paper/Code |
2023/06 | OAFormerMSC MS |
OAFormer: Occlusion Aware Transformer for Camouflaged Object Detection Xin Yang, Hengliang Zhu, Guojun Mao, Shuli Xing |
ICME 2023 |
Paper/Code |
2023/06 | Bi-RRNetMSC |
Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection Yan Liu, Kaihua Zhang, Yaqian Zhao, Hu Chen, Qingshan Liu |
PR 2023 |
Paper |
2023/06 | CABRMSC MTL |
Camouflaged object detection based on context-aware and boundary refinement Caijuan Shi, Bijuan Ren, Houru Chen, Lin Zhao, Chunyu Lin & Yao Zhao |
API 2023 |
Paper |
2023/05 | WS-SAM MSC |
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li |
NeurIPS 2023 |
Paper/Code |
2023/05 | CamoDiffusionDiffusion Model |
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models Zhongxi Chen, Ke Sun, Xianming Lin, Rongrong Ji |
AAAI 2024 |
Paper/Code |
2023/05 | BTSNetMSC MS MTL |
A bioinspired three-stage model for camouflaged object detection Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang |
arXiv 2023 |
Paper/Code |
2023/04 | FLCNetMSC |
Camouflaged Object Detection with a Feature Lateral Connection Network Tao Wang, Jian Wang, and Ruihao Wang |
Electronics 2023 |
Paper/Code |
2023/04 | SAM-AdapterAdapter |
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, and More Tianrun Chen, Lanyun Zhu, Chaotao Ding, Runlong Cao, Yan Wang, Zejian Li, Lingyun Sun, Papa Mao, Ying Zang |
arXiv 2023 |
Paper |
2023/04 | BCNetMSC MTL |
Boundary-guided context-aware network for camouflaged object detection J. Xiao, T. Chen, X. Hu, G. Zhang, S. Wang |
Neural Comput 2023 |
Paper |
2023/04 | MFNetMSC MTL |
Edge-guided camouflaged object detection via multi-level feature integration Kangwei Liu,Tianchi Qiu,Yinfeng Yu,Songlin Li, Xiuhong Li |
Sensors 2023 |
Paper/Code |
2023/04 | DBFNMSC |
Double-branch fusion network with a parallel attention selection mechanism for camouflaged object detection Junjiang Xiang, Qing Pan, Zhengrong Zhang, Songnian Fu & Yuwen Qin |
SCIS 2023 |
Paper |
2023/04 | FSNetMSC MS |
FSNet: Focus Scanning Network for Camouflaged Object Detection Ze Song; Xudong Kang; Xiaohui Wei; Haibo Liu; Renwei Dian; Shutao Li |
TIP 2023 |
Paper/Code |
2023/04 | CamDiffDiffusion Model |
CamDiff: Camouflage image augmentation via diffusion modelDiff-COD dataset Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool |
CAAI AIR 2023 |
Paper/Code |
2023/04 | FS-CDISloss function |
The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationCAMO-FS dataset 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 |
IEEE Access 2024 |
Paper |
2023/04 | PFNet+MSC MC |
Distraction-aware camouflaged object segmentation Haiyang Mei, Xin Yang, Yunduo Zhou, Ge-Peng Ji, Xiaopeng Wei, and Deng-Ping Fan |
SSI 2023 |
Code/Project |
2023/03 | Semi-SINetMSC MS MTL |
Camouflaged people detection based on a semi-supervised search identification network Yang Liu, Cong-qing Wang, Yong-jun Zhou |
Def. Technol. 2023 |
Paper |
2023/03 | SARNetMSC MS |
Go Closer To See Better: Camouflaged Object Detection via Object Area Amplification and Figure-ground Conversion Haozhe Xing; Yan Wang; Xujun Wei; Hao Tang; Shuyong Gao; Wenqiang Zhang |
TCSVT 2023 |
Paper/Code |
2023/03 | SATJS |
Nowhere to Disguise: Spot Camouflaged Objects via Saliency Attribute Transfer Wenda Zhao; Shigeng Xie; Fan Zhao; You He; Huchuan Lu |
TIP 2023 |
Paper/Code |
2023/02 | MSCAF-NetMSC MS |
MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-Scale Context-Aware Features Yu Liu; Haihang Li; Juan Cheng; Xun Chen |
TCSVT 2023 |
Paper/Code |
2023/02 | FSPNet MSC |
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, and Huan Xiong |
CVPR 2023 |
Paper/Code |
2023/02 | FEDER MSC MTL MSI |
Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li |
CVPR 2023 |
Paper/Code |
2023/02 | CPNetMSC |
Camouflaged Object Detection Based on Ternary Cascade Perception Xinhao Jiang,Wei Cai,Yao Ding, Xin Wang,Zhiyong Yang,Xingyu Di,Weijie Gao |
RS 2023 |
Paper |
2022/12 | CamoFormer MSC |
CamoFormer: Masked separable attention for camouflaged object detection BoFEDERwen Yin, Xuying Zhang, Qibin Hou, Bo-Yuan Sun, Deng-Ping Fan, and Luc Van Gool |
TPAMI 2024 |
Paper/Code |
2022/12 | AGFNetMSC MTL |
AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection Zeyu Zhao, Zhihao Liu & Chenglei Peng |
CICAI 2022 |
Paper |
2022/12 | DQnetMSC |
DQnet: Cross-Model Detail Querying for Camouflaged Object Detection Wei Sun, Chengao Liu, Linyan Zhang, Yu Li, Pengxu Wei, Chang Liu, Jialing Zou, Jianbin Jiao, Qixiang Ye |
arXiv 2022 |
Paper |
2022/11 | FAP-Net MSC MTL |
Feature Aggregation and Propagation Network for Camouflaged Object Detection Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang |
TIP 2022 |
Paper/Code |
2022/11 | DPSNetMSC MTL |
Boundary-aware Camouflaged Object Detection via Deformable Point Sampling Minhyeok Lee, Suhwan Cho, Chaewon Park, Dogyoon Lee, Jungho Lee, Sangyoun Lee |
ICEIC 2024 |
Paper |
2022/11 | MGL-V2MTL |
MGL: Mutual Graph Learning for Camouflaged Object Detection CVPR21 (MGL) extension Qiang Zhai; Xin Li; Fan Yang; Zhicheng Jiao; Ping Luo; Hong Cheng; Zicheng Liu |
TIP 2023 |
Paper/Code |
2022/11 | TCU-NetMSC |
TCU-Net: Transformer and Convolutional Neural Network-Based Advanced U-Net for Concealed Object Detection Kyeong-Beom Park; Jae Yeol Lee |
IEEE Access 2022 |
Paper |
2022/10 | FindNetMSC MS MTL |
FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection Peng Li, Xuefeng Yan, Hongwei Zhu, Mingqiang Wei, Xiao-Ping Zhang, Jing Qin |
TIP 2022 |
Paper |
2022/10 | MFFN MSC MS |
MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection Dehua Zheng, Xiaochen Zheng, Laurence T. Yang, Yuan Gao, Chenlu Zhu, Yiheng Ruan |
WACV 2023 |
Paper/Code |
2022/10 | PreyNet MSC MS MTL |
PreyNet: Preying on camouflaged objects M Zhang, S Xu, Yongri Piao, D Shi, S Lin, H Lu |
ACM MM 2022 |
Paper/Code |
2022/10 | ELDNetMSC MTL |
Eldnet: Establishment and Refinement of Edge Likelihood Distributions for Camouflaged Object Detection Chiyuan He; Linfeng Xu; Zihuan Qiu |
ICIP 2022 |
Paper |
2022/09 | EINetMSC |
EINet: camouflaged object detection with pyramid vision transformer Chen Li, Ge Jiao |
JEI 2022 |
Paper |
2022/09 | MAGNetMSC MC |
MAGNet: A Camouflaged Object Detection Network Simulating the Observation Effect of a Magnifier Xinhao Jiang,Wei Cai,Zhili Zhang,Bo Jiang,Zhiyong Yang andXin Wang |
Entropy 2022 |
Paper/Code |
2022/08 | NCHITMSC |
Camouflaged object detection via Neighbor Connection and Hierarchical Information Transfer Cong Zhang, Kang Wang, Hongbo Bi, Ziqi Liu, Lina Yang |
CVIU 2022 |
Paper |
2022/07 | CRNet MSC MS |
Weakly-Supervised Camouflaged Object Detection with Scribble Annotations S-COD dataset Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W.H. Lau |
AAAI 2023 |
Paper/Code |
2022/07 | PINetMSC |
Finding the Achilles Heel: Progressive Identification Network for Camouflaged Object Detection Mu-Chun Chou, Hung-Jen Chen, Hong-Han Shuai |
ICME 2022 |
Paper/Code |
2022/07 | BGNetMSC MTL |
Boundary-Guided Camouflaged Object Detection Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang |
IJCAI 2022 |
Paper/Code |
2022/07 | C2FNet-V2 MSC |
Camouflaged Object Detection via Context-aware Cross-level Fusion C2FNet Extension Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou |
TCSVT 2022 |
Paper/Code |
2022/07 | DTC-Net MSC |
Deep Texton-Coherence Network for Camouflaged Object Detection Wei Zhai, Yang Cao, HaiYong Xie, Zheng-Jun Zha |
TMM 2022 |
Paper |
2022/07 | BgNetMSC MTL |
Boundary-guided network for camouflage object detection Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang |
KBS 2022 |
Paper/Code |
2022/07 | CubeNet MSC MTL |
CubeNet: X-shape connection for camouflaged object detection Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen |
PR 2022 |
Paper/Code |
2022/07 | TPRNetMSC |
TPRNet: camouflaged object detection via transformer-induced progressive refinement network Qiao Zhang, Yanliang Ge, Cong Zhang & Hongbo Bi |
TVC 2022 |
Paper/Code |
2022/07 | ANSANetMSC |
Attention-based Neighbor Selective Aggregation Network for Camouflaged Object Detection Yao Cheng; Hao-Zhou Hao; Yi Ji; Ying Li; Chun-Ping Liu |
IJCNN 2022 |
Paper |
2022/07 | GMRNetMSC MS |
Guided multi-scale refinement network for camouflaged object detection Xiuqi Xu, Shuhan Chen, Xiao Lv, Jian Wang & Xuelong Hu |
MTA 2022 |
Paper |
2022/07 | DACFNetMSC |
Camouflaged Object Detection with Discriminative Information Attention and Cross-level Feature Fusion Xinyue Li; Lin Li; Shiyao Jiang; Miao Yang; Lin Qi |
ICIVC 2022 |
Paper |
2022/06 | FEMNetMSC MSI |
Detecting Camouflaged Object in Frequency Domain Yijie Zhong, Bo Li, Lv Tang, et al. |
CVPR 2022 |
Paper |
2022/06 | BSA-Net MSC MS MTL |
I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection Hongwei Zhu, Peng Li, Haoran Xie, Mingqiang Wei, et al. |
AAAI 2022 |
Paper/Code |
2022/06 | SegMaR MSC MS |
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way Qi Jia, S. Yao, Yu Liu, et al. |
CVPR 2022 |
Paper/Code |
2022/06 | ZoomNet MSC MS |
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu |
CVPR 2022 |
Paper/Code |
2022/06 | FBNet MSC MSI |
Frequency-aware Camouflaged Object Detection Jiaying Lin, Xin Tan, Ke Xu, Lizhuang Ma, Rynson W.H. Lau |
TOMM 2022 |
Paper |
2022/05 | DGNetMSC MTL |
Deep Gradient Learning for Efficient Camouflaged Object Detection Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool |
MIR 2023 |
Paper/Code |
2022/05 | LSRNet-V2MS MTL |
Towards Deeper Understanding of Camouflaged Object Detection LSR extension Yunqiu Lv, Jing Zhang, Yuchao Dai, et al. |
TCSVT 2023 |
Paper/Code |
2022/05 | DTINetMS MTL |
Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer Zhengyi Liu, Zhili Zhang, Wei Wu |
ICPR 2022 |
Paper/Code |
2022/03 | HitNet MSC |
High-resolution Iterative Feedback Network for Camouflaged Object Detection Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao |
AAAI 2023 |
Paper/Code |
2022/03 | IIE-CIAMSC MS |
Toward Accurate Camouflaged Object Detection With In-Layer Information Enhancement and Cross-Layer Information Aggregation Hongbo Bi; Cong Zhang; Kang Wang; Ranwan Wu |
TCDS 2022 |
Paper |
2022/01 | OCENetMSC MTL |
Modeling Aleatoric Uncertainty for Camouflaged Object Detection Jiawei Liu, Jing Zhang, Nick Barnes |
WACV 2022 |
Paper/Code |
2021/11 | ERRNet MSC MS MTL |
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu |
PR 2022 |
Paper/Code |
2021/11 | POCINetMSC MS |
Integrating Part-Object Relationship and Contrast for Camouflaged Object Detection Yi Liu, Dingwen Zhang, Qiang Zhang, and Jungong Han |
TIFS 2021 |
Paper/Code |
2021/10 | BgCodMSC MTL |
Boundary guidance network for camouflage object detection Xiuqi Xu, Mingyu Zhu, Jinhao Yu, Shuhan Chen, Xuelong Hu, Yuequan Yang |
IVC 2021 |
Paper |
2021/10 | UR-CODMTL |
Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels Nobukatsu Kajiura, Hong Liu, Shin'ichi Satoh |
ACM MM 2021 |
Paper/Code |
2021/10 | UGTR MTL |
Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection Fan Yang, Qiang Zhai, Xin Li, Rui Huang, et al. |
ICCV 2021 |
Paper/Code |
2021/07 | CODCEFMSC |
Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing Kaihong Huang, ORCID,Chunshu Li, Jiaqi Zhang and Beilun Wang |
Sensors 2021 |
Paper/Code |
2021/07 | ACDNetMSC MS |
ACDNet with ASPP for Camouflaged Object Detection Qihui Zhu |
ICAIIS 2021 |
Paper |
2021/06 | UJSCOD MTL JS |
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai |
CVPR 2021 |
Paper/Code |
2021/06 | LSRNetMS MTL |
Simultaneously Localize, Segment and Rank the Camouflaged Objects NC4K dataset Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, et al. |
CVPR 2021 |
Paper/Code |
2021/06 | PFNet MSC MS |
Camouflaged Object Segmentation with Distraction Mining Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan |
CVPR 2021 |
Paper/Code |
2021/06 | MGL MTL |
Mutual Graph Learning for Camouflaged Object Detection Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan |
CVPR 2021 |
Paper/Code |
2021/05 | C2FNet MSC |
Context-aware Cross-level Fusion Network for Camouflaged Object Detection Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu |
IJCAI 2021 |
Paper/Code |
2021/05 | TINet MSC MTL |
Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu |
AAAI 2021 |
Paper |
2021/05 | BASNet MSC |
Boundary-Aware Segmentation Network for Mobile and Web Applications Xuebin Qin, Deng-Ping Fan, Chenyang Huang, et al. |
arXiv 2021 |
Paper/Code |
2021/03 | D2CNetMSC MS |
D2C-Net: A Dual-branch, Dual-guidance and Cross-refine Network for Camouflaged Object Detection Kang Wang, Hongbo Bi, Yi Zhang, Cong Zhang, Ziqi Liu, Shuang Zheng |
TIE 2021 |
Paper/Code |
2021/02 | SINet-V2 MSC MS |
Concealed Object Detection COD10K dataset Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao |
TPAMI 2022 |
Paper/Code |
2021/02 | TANet MSC |
Deep Texture-Aware Features for Camouflaged Object Detection Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, et al. |
TCSVT 2021 |
Paper |
2021/01 | MCIF-Net MSC |
Accurate Camouflaged Object Detection via Mixture Convolution and Interactive Fusion Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen |
arXiv 2021 |
Paper |
2020/07 | MirrorNet MS |
MirrorNet: Bio-Inspired Camouflaged Object Segmentation Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen |
IEEE Access 2021 |
Paper/Project |
2020/04 | PDLFImage Generation |
Deep Camouflage Images Qing Zhang, Gelin Yin, Yongwei Nie, Wei-Shi Zheng |
AAAI 2020 |
Paper |
2020/06 | SINetMSC MS |
Camouflaged Object Detection COD10K dataset Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao |
CVPR 2020 |
Paper/Code |
2019/07 | ANetMS MTL |
Anabranch network for camouflaged object segmentation CAMO dataset Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto |
CVIU 2019 |
Paper/Code/Project |
2018/04 | CPDDNetMSC |
Detection of People With Camouflage Pattern Via Dense Deconvolution Network CPD1K dataset Yunfei Zheng, Xiongwei Zhang, Feng Wang, Tieyong Cao, Meng Sun, Xiaobing Wang |
SPL 2019 |
Paper/Code |
Release | Method | Title |
Pub. | Links |
---|---|---|---|---|
2024/07 | DSAMMSI |
Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection Zhenni Yu, Xiaoqin Zhang, Li Zhao, Yi Bin, Guobao Xiao |
ACM MM 2024 |
Paper/Code |
2024/05 | DAF-NetMSC MSI |
Depth Awakens: A Depth-perceptual Attention Fusion Network for RGB-D Camouflaged Object Detection Xinran Liua, Lin Qia, Yuxuan Songa, Qi Wen |
IVC 2024 |
Paper/Code |
2024/04 | RISNet MSC MSI |
Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes ACOD-12K dataset Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng |
CVPR 2024 |
Paper/Code |
2023/10 | DaCODMSI |
Depth-aided Camouflaged Object Detection Qingwei Wang,Jinyu Yang,Xiaosheng Yu,Fangyi Wang,Peng Chen,Feng Zheng |
ACM MM 2023 |
Paper/Code |
2023/05 | XMSNetMSC MSI |
Object Segmentation by Mining Cross-Modal Semantics Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte |
ACM MM 2023 |
Paper/Code |
2022/12 | PopNetMSI |
Source-free depth for object pop-out Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool |
ICCV 2023 |
Paper/Code |
2021/06 | DCE MTL MSI |
Exploring Depth Contribution for Camouflaged Object Detection Mochu Xiang, Jing Zhang, Yunqiu Lv, et al. |
arXiv 2021 |
Paper |
-
Unsupervised camouflaged object segmentation (UCOS)
-
Collaborative camouflaged object detection (CoCOD)
-
Referring camouflaged object detection (RefCOD)
-
Open-vocabulary camouflaged object segmentation (OVCOS)
Release | Method | Title | Pub. | Links | Task |
---|---|---|---|---|---|
2023/11 | OVCoser | Open-Vocabulary Camouflaged Object SegmentationOVCamo dataset Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu |
ECCV 2024 |
Paper | OVCOS |
2023/11 | MLKG | Large Model Based Referring Camouflaged Object Detection Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu |
arXiv 2023 |
Paper | RefCOD |
2023/10 | BBNet |
Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark CoCOD8K dataset Cong Zhang, Hongbo Bi, Tian-Zhu Xiang, Ranwan Wu, Jinghui Tong, Xiufang Wang |
TNNLS 2023 |
Paper/Code | CoCOD |
2023/06 | R2CNet | Referring Camouflaged Object Detection R2C7K dataset Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng |
arXiv 2023 |
Paper/Code | RefCOD |
2023/08 | UCOS-DA | Unsupervised Camouflaged Object Segmentation as Domain Adaptation Yi Zhang; Chengyi Wu |
ICCVW 2023 |
Paper/Code | UCOS |
Release | Method | Title | Pub. | Links |
---|---|---|---|---|
2024/09 | - | When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation Yuli Zhou, Guolei Sun, Yawei Li, Luca Benini, Ender Konukoglu |
arXiv 2024 |
Paper |
2024/06 | SAM-PM | SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention Muhammad Nawfal Meeran, Gokul Adethya T, Bhanu Pratyush Mantha |
CVPR Ws 2024 |
Paper/Code |
2024/03 | EMIP | Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection Xin Zhang, Tao Xiao, Gepeng Ji, Xuan Wu, Keren Fu, Qijun Zhao |
arXiv 2024 |
Paper |
2024/02 | TSP-SAM | Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection Wenjun Hui, Zhenfeng Zhu, Shuai Zheng, Yao Zhao |
CVPR 2024 |
Paper/Code |
2024/02 | IMEX | Implicit-Explicit Motion Learning for Video Camouflaged Object Detection Wenjun Hui; Zhenfeng Zhu; Guanghua Gu; Meiqin Liu; Yao Zhao |
TMM 2024 |
Paper |
2023/11 | TMNet | TokenMotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection Via Learnable Token Selection Zifan Yu, Erfan Bank Tavakoli, Meida Chen, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren |
ICASSP 2024 |
Paper |
2023/10 | ZoomNeXt | ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu |
TPAMI 2024 |
Paper/Code |
Release | Method | Title | Pub. | Links |
---|---|---|---|---|
2023/09 | CAMEVAL | The Making and Breaking of Camouflage camouflage scores function Hala Lamdouar, Weidi Xie, Andrew Zisserman |
ICCV 2023 |
Paper/Code |
2022/08 | OFS | EM-driven unsupervised learning for efficient motion segmentation Etienne Meunier, Ana¨ıs Badoual, and Patrick Bouthemy. |
TPAMI 2022 |
Paper/Code |
2022/07 | OCLR | Segmenting Moving Objects via an Object-Centric Layered Representation Junyu Xie, Weidi Xie, Andrew Zisserman. |
NeurIPS 2022 |
Paper |
2022/06 | SLTNet | Implicit Motion Handling for Video Camouflaged Object Detection MoCA-Mask dataset Xuelian Cheng, Huan Xiong, Deng-Ping Fan, et al. |
CVPR 2022 |
Paper/Code |
2022/06 | QSDI | A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information Matthew Kowal, Mennatullah Siam, Md Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis |
CVPR 2022 |
Paper/Code/Project |
2022/03 | RCF | The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields Pia Bideau, Erik Learned-Miller, Cordelia Schmid, et al. |
IJCV 2022 |
Paper |
2021/11 | SIMO | Segmenting Invisible Moving Objects Hala Lamdouar, Weidi Xie, and Andrew Zisserman. |
BMVC 2021 |
Paper/Project |
2021/04 | MG | Self-Supervised Video Object Segmentation by Motion Grouping Charig Yang, Hala Lamdouar, Erika Lu, et al. |
ICCV 2021 |
Paper/Code/Project |
2020/11 | VRS | Betrayed By Motion: Camouflaged Object Discovery via Motion Segmentation MoCA dataset Hala Lamdouar, Charig Yang, Weidi Xie,et al. |
ACCV 2020 |
Paper/Code |
2018/12 | FMC | Object discovery in videos as foreground motion clustering Christopher Xie, Yu Xiang, Zaid Harchaoui, et al. |
CVPR 2019 |
Paper |
Release | Method | Title | Pub. | Links |
---|---|---|---|---|
2024/01 | - | Scanning and Affordance Segmentation of Glass and Plastic Bottles Floris Erich; Noriaki Ando; Yusuke Yoshiyasu |
SII 2024 |
Paper |
2023/11 | CGSDNet | CGSDNet: Cascade Network with ConvNeXt as Backbone for Glass Surface Detection Zeyuan Chen; Masahiko Mikawa; Makoto Fujisawa |
ICAICA 2023 |
Paper |
2023/06 | - | A Novel Transparent Object Detection Approach Based on Segmentation-Depth Reconstruction Zhonglin Li; Yang Luo; Yunxiang Jiang; Bi Zhang; Guoli Song; Xingang Zhao; Yiwen Zhao |
RCAR 2023 |
Paper |
2023/06 | BCNet | Boundary Cue Guidance and Contextual Feature Mining for Glass Segmentation Qiquan Xiao; Yuan Zhang; Xuanya Li; Kai Hu |
ICASSP 2023 |
Paper |
2023/03 | TROSNet | TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice Tianyu Sun; Guodong Zhang; Wenming Yang; Jing-Hao Xue; Guijin Wang |
TCSVT 2023 |
Paper |
2022/04 | - | Glass Segmentation with RGB-Thermal Image Pairs Dong Huo, Jian Wang, Yiming Qian, Yee-Hong Yang |
TIP 2023 |
Paper/Code |
2022/03 | ClearPose | ClearPose: Large-scale Transparent Object Dataset and Benchmark ClearPose dataset Xiaotong Chen, Huijie Zhang, Zeren Yu, Anthony Opipari, Odest Chadwicke Jenkins |
ECCV 2022 |
Paper/Code |
2022/03 | Trans4Trans | Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance Jiaming Zhang; Kailun Yang; Angela Constantinescu; Kunyu Peng; Karin Müller; Rainer Stiefelhagen |
TITS 2022 |
Paper |
2021/10 | - | Real-time Transparent Object Segmentation Based on Improved DeepLabv3+Zhengguang Xu; Benshan Lai; Li Yuan; Tao Liu | CAC 2021 |
Paper |
2021/01 | Trans2Seg | Segmenting Transparent Object in the Wild with Transformer Trans10K-v2 dataset Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo |
IJCAI 2021 |
Paper/Code |
2020/06 | GDNet | Don’t Hit Me! Glass Detection in Real-world Scenes GDD dataset Haiyang Mei, Xin Yang, Yang Wang, Yuanyuan Liu, Shengfeng He, Qiang Zhang, Xiaopeng Wei, Rynson W.H. Lau |
CVPR 2020 |
Paper/Code |
2020/06 | - | Deep Polarization Cues for Transparent Object Segmentation Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar, Achuta Kadambi |
CVPR 2020 |
Paper |
2020/05 | - | Single-Stage Semantic Segmentation from Image Labels Nikita Araslanov, Stefan Roth |
CVPR 2020 |
Paper/Code |
2020/03 | TransLab | Segmenting Transparent Objects in the Wild Trans10K dataset Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo |
ECCV 2020 |
Paper/Code |
2019/11 | - | Simultaneous Transparent and Non-Transparent Object Segmentation With Multispectral Scenes Atsuro Okazawa; Tomoyuki Takahata; Tatsuya Harada |
IROS 2019 |
Paper |
2018/03 | TOM-Net | TOM-Net: Learning Transparent Object Matting from a Single Image TOM-Net dataset Guanying Chen, Kai Han, Kwan-Yee K. Wong |
CVPR 2018 |
Paper/Code |
2015/11 | TransCut | TransCut: Transparent Object Segmentation from a Light-Field Image TransCut dataset Yichao Xu, Hajime Nagahara, Atsushi Shimada, Rin-ichiro Taniguchi |
ICCV 2015 |
Paper |
2011/09 | - | Transparent object detection using color image and laser reflectance image for mobile manipulator Zhong Lei; Kazunori Ohno; Masanobu Tsubota; Eijiro Takeuchi; Satoshi Tadokoro |
ICRB 2011 |
Paper |
Release | Method | Title | Pub. | Links |
---|---|---|---|---|
2023/12 | - | Transformer and Feature Enhancement for Lightweight Rail Surface Defect Detection Baoqu Gao; Jing Peng |
ITAIC 2023 |
Paper |
2023/11 | MFAM-Net | MFAM-Net:A Surface Defect Detection Network for Strip Steel via Multiscale Feature Fusion and Attention Mechanism Qingtian Zeng; Daibai Wei; Xue Zhang; Quan Gan; Qihong Wang; Minghao Zou |
NTCI 2023 |
Paper |
2023/11 | - | Metal Surface Defect Detection Algorithm Based on Improved YOLOv5 Xiaodong Su; Fengchun Zhang; Yurong Zhang; Hongyan Xu; Xu Chen |
ITOEC 2023 |
Paper |
2023/09 | - | Improved Yolov5n strip surface defect detection algorithm Lin Tang; Le Cai Cai; Kui Cheng; Xinjie Wang; Chunlan Luo; Yunlong Zhao |
SAFEPROCESS 2023 |
Paper |
2023/08 | - | Piano Wooden Parts Paint Surface Defect Detection based on YOLO Haoping Li; Zhuhong Jin; Ronghua Meng; Wei Peng; Liuyang Cai |
ICBAIE 2023 |
Paper |
2023/03 | - | Design of Rail Surface Defect Detection System Based on LabVIEW Machine Vision Han Han; Liguo Tian; Meng Li; Xudong Cui; Chunhu Shang; Shidong Hou |
ITNEC 2023 |
Paper |
2023/03 | - | A Tiny Defect Detection System for Tire Mold Surfaces Based on Consecutive Frames Yu-Hung Lin; Shanq-Jang Ruan |
TIM 2023 |
Paper |
2022/09 | - | Surface Defect Detection of Aircraft Glass Canopy Based on Improved YOLOv4 Jing Wang; Siwen Wei; Kexin Wang; Jianhong Li |
ISCIT 2022 |
Paper |
2022/07 | - | A Deep Learning Based Surface Defect Detection Method with Coarse Granularity for Corrugated Fuel Tubes Zongze Wu; Zizhuo Zhang; Jun Xu; Qiang Ling |
CCC 2022 |
Paper |
2022/07 | - | Surface Defect Detection of Steel Products Based on Improved YOLOv5 Yajiao Liu; Jiang Wang; Haitao Yu; Fulong Li; Lifeng Yu; Chunhui Zhang |
CCC 2022 |
Paper |
2022/06 | - | A Surface Fatal Defect Detection Method for Magnetic Tiles based on Semantic Segmentation and Object Detection Zedong Zhu; Peiyuan Zhu; Jiaxing Zeng; Xiang Qian |
ITAIC 2022 |
Paper |
2021/03 | - | A Learning-Based Surface Defect Detection Method for Internal Surfaces of Bellows Zizhuo Zhang; Jun Xu; Song Wang; Feng Li; Qiang Ling |
CCDC 2021 |
Paper |
2021/03 | - | Surface Defects Detection and Identification of Lithium Battery Pole Piece Based on Multi-Feature Fusion and PSO-SVM Changlu Xu; Linsheng Li; Jiwei Li; Chuanbo Wen |
IEEE Access | Paper |
2021/01 | - | A Detection and Identification Method Based on Machine Vision for Bearing Surface Defects Zhengyan Gu; Xiaohui Liu; Lisheng Wei |
ICCCR 2021 |
Paper |
2020/10 | - | Sanitary Ceramic Surface Defect Detection Method Based on Neighborhood Pixel Gray Information Jingfan Hang; Xianqiang Yang; Xinghu Yu |
IECON 2020 |
Paper |
2019/11 | - | A visual detection method of tile surface defects based on spatial-frequency domain image enhancement and region growing Guofeng Zou; Taotao Li; Guangya Li; Xiang Peng; Guixia Fu |
CAC 2019 |
Paper |
2019/03 | - | Segmentation Based Deep-Learning Approach for Surface Defect Detection KolektorSDD dataset Domen Tabernik, Samo Šela, Jure Skvarč, Danijel Skočaj |
J Intell Manuf 2019 |
Paper |
2018/09 | - | Fast Surface Defect Detection Using Improved Gabor Filters Jiaxu Ma; Yuxi Wang; Chen Shi; Cewu Lu |
ICIP 2018 |
Paper |
2018/06 | - | Surface Defect Detection Based on Gradient LBP Xiaojing Liu; Feng Xue; Lu Teng |
ICIVC 2018 |
Paper |
2012/10 | - | Unsupervised detection of surface defects: A two-step approach Jiwon Choi; Changick Kim |
ICIP 2012 |
Paper |
Release | Method | Title | Pub. | Links |
---|---|---|---|---|
2024/01 | CCFNet | Cross-level Context Fusion Network for Polyp Segmentation in Colonoscopy Images Duanfang Cai; Kongcai Zhan; Youguo Tan; Xiaoyan Chen; Heng Luo; Guangyu Li |
IEEE Access | Paper |
2024/01 | DUSFormer | DUSFormer: Dual-Swin Transformer V2 Aggregate Network for Polyp Segmentation Zhangrun Xia; Jingliang Chen; Chengzhun Lu |
IEEE Access | Paper |
2023/12 | HybridVPS | HybridVPS: Hybrid-Supervised Video Polyp Segmentation Under Low-Cost Labels Wenxue Li; Xinyu Xiong; Siying Li; Fugui Fan |
SPL 2023 |
Paper |
2023/12 | UDnet | UDnet: A Polyp Image Segmentation Method Based on Derivative Network Mengxin Li; Donghui Piao; Baofeng Wang |
ICEACE 2023 |
Paper |
2023/12 | - | DeeplabV3+ Driven Polyp Segmentation: Advancing Colonoscopy Diagnosis Nabil Ahmed; MD. Naimujjaman; Mahbuba Akhter; Hasan Monir |
ICCIT 2023 |
Paper |
2023/10 | S2ME | S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation An Wang, Mengya Xu, Yang Zhang, Mobarakol Islam & Hongliang Ren |
MICCAI 2023 |
Paper/Code |
2023/04 | - | Enhancing Polyp Segmentation Generalizability by Minimizing Images’ Total Variation Mahmood Haithami; Amr Ahmed; Iman Yi Liao; Hamid Jalab |
ISBI 2023 |
Paper |
2023/04 | PST-Net | Unpaired Image-to-Image Translation Based Domain Adaptation for Polyp Segmentation Xinyu Xiong; Siying Li; Guanbin Li |
ISBI 2023 |
Paper |
2023/04 | FPN | An Accurate Polyp Segmentation Framework via Feature Secondary Fusion Yanzhou Su; Qingsong Xie; Jin Ye; Junjun He; Jian Cheng |
ISBI 2023 |
Paper |
2023/04 | - | Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use Yanzhou Su; Changjian Deng; Zhongying Deng; Jin Ye; Junjun He; Jian Cheng |
ISBI 2023 |
Paper |
2022/09 | LDNet | Lesion-aware Dynamic Kernel for Polyp Segmentation Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu & Guanbin Li |
MICCAI 2022 |
Paper/Code |
2022/09 | SSFormer | Stepwise Feature Fusion: Local Guides Global Jinfeng Wang, Qiming Huang, Feilong Tang, Jia Meng, Jionglong Su & Sifan Song |
MICCAI 2022 |
Paper/Code |
2022/09 | LDNet | Lesion-Aware Dynamic Kernel for Polyp Segmentation Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu & Guanbin Li |
MICCAI 2022 |
Paper/Code |
2022/09 | SSTAN | Semi-supervised Spatial Temporal Attention Network for Video Polyp Segmentation Xinkai Zhao, Zhenhua Wu, Shuangyi Tan, De-Jun Fan, Zhen Li, Xiang Wan & Guanbin Li |
MICCAI 2022 |
Paper/Code |
2022/09 | TRFRNet | Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation Task-Relevant Feature Replenishment for Cross-Centre Polyp Segmentation |
MICCAI 2022 |
Paper/Code |
2022/09 | PPFormer | Using Guided Self-Attention with Local Information for Polyp Segmentation Linghan Cai, Meijing Wu, Lijiang Chen, Wenpei Bai, Min Yang, Shuchang Lyu & Qi Zhao |
MICCAI 2022 |
Paper |
2022/09 | CPC-Trans | Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-Modal Representation Consistency Weijie Ma, Ye Zhu, Ruimao Zhang, Jie Yang, Yiwen Hu, Zhen Li & Li Xiang |
MICCAI 2022 |
Paper/Code |
2022/09 | CT | Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans & Gustavo Carneiro |
MICCAI 2022 |
Paper/Code |
2022/09 | BoxPolyp | BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S. Kevin Zhou & Zhen Li |
MICCAI 2022 |
Paper |
2022/08 | BCNet | Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation Guanghui Yue, Wanwan Han, Bin Jiang, Tianwei Zhou, Runmin Cong, Tianfu Wang |
IEEE JHBI 2022 |
Paper |
2022/05 | TGANet | TGANet: Text-Guided Attention for Improved Polyp Segmentation Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali |
MICCAI 2022 |
Paper/Code |
2022/03 | DCRNet | Duplex Contextual Relation Network For Polyp Segmentation Zijin Yin; Kongming Liang; Zhanyu Ma; Jun Guo |
ISBI 2022 |
Paper/Code |
2022/03 | CoFo | Adversarial Contrastive Fourier Domain Adaptation for Polyp Segmentation Ta Duc Huy; Hoang Cao Huyen; Chanh D. T. Nguyen; Soan T. M. Duong; Trung Bui; Steven Q. H. Truong |
ISBI 2022 |
[Paper]([Adversarial Contrastive Fourier Domain Adaptation for Polyp Segmentation )/Code |
2021/03 | AAU-Net | Asymmetric Attention Upsampling: Rethinking Upsampling For Biological Image Segmentation Chunyu Dong; Qunfei Zhao; Kun Chen; Xiaolin Huang |
ISBI 2021 |
Paper |
2020/03 | SSN | SSN: A Stair-Shape Network for Real-Time Polyp Segmentation in Colonoscopy Images Ruiwei Feng; Biwen Lei; Wenzhe Wang; Tingting Chen; Jintai Chen; Danny Z. Chen; Jian Wu |
ISBI 2020 |
Paper |
2019/04 | - | Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN |
ISBI 2019 |
Paper |
Release | Method | Title | Pub. | Links |
---|---|---|---|---|
2023/10 | - | Detection and Localization of Lung Nodules by Accelerating Multi-dimensional Images using Graph Data Science Akhila Thejaswi R; Bellipady Shamantha Rai; Permanki Guthu Rithesh Pakkala; Niranjan Bhat; Nishanth V Poojary, etc. |
DISCOVER 2023 |
Paper |
2023/08 | - | Lung Nodule Classification Using MobileNet Transfer Learning Rajdeep Ghosh; Adnan Ahamed; Bikash Sadhukhan; Nabanita Das |
ICSCC 2023 |
Paper |
2023/04 | CdcSegNet | CdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images Ju Zhang; Dechen Chen; Dong Ma; Changgang Ying; Xiaoyan Sun; Xiaobing Xu; Yun Cheng |
TIM 2023 |
Paper |
2022/12 | MHSnet | MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Lung Nodule Detection 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 |
BIBM 2022 |
Paper |
2022/10 | - | A Coarse-to-Fine Morphological Approach with Knowledge-Based Rules and Self-Adapting Correction for Lung Nodules Segmentation Xinliang Fu; Jiayin Zheng; Juanyun Mai; Yanbo Shao; Minghao Wang; Linyu Li; Zhaoqi Diao; Yulong Chen; Jianyu Xiao, etc. |
ICIP 2022 |
Paper |
2022/10 | RACN | Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules Yu Fu; Peng Xue; Taohui Xiao; Zhili Zhang; Youren Zhang; Enqing Dong |
JBHI 2023 |
Paper |
2022/09 | - | Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories Le Yi; Lei Zhang; Xiuyuan Xu; Jixiang Guo |
TMI 2023 |
Paper |
2022/08 | LSSANet | LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang |
MICCAI 2022 |
Paper/Code |
2021/03 | SANet | SANet: A Slice-Aware Network for Pulmonary Nodule Detection PN9 dataset Domen Tabernik, Samo Šela, Jure Skvarč, Danijel Skočaj |
TPAMI 2021 |
Paper/Code |
2020/01 | - | Detection and Recognition of Lung Nodules in Medical Images Using Chaotic Ant Colony Algorithm Jinxia Li; Hongbo Zhao; Yanni Yang |
ICMTMA 2020 |
Paper |
2018/10 | MV-KBC | Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT Yutong Xie; Yong Xia; Jianpeng Zhang; Yang Song; Dagan Feng; Michael Fulham; Weidong Cai |
TMI 2019 |
Paper |
2018/03 | DeepLung | DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification Wentao Zhu; Chaochun Liu; Wei Fan; Xiaohui Xie |
WACV 2018 |
Paper |
2016/03 | ConvNets | Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks Arnaud Arindra Adiyoso Setio; Francesco Ciompi; Geert Litjens; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands , etc. |
TMI 2016 |
Paper |
2014/08 | - | Artificial neural network-based classification system for lung nodules on computed tomography scans Emre Dandıl; Murat Çakiroğlu; Ziya Ekşi; Murat Özkan; Özlem Kar Kurt; Arzu Canan |
SoCPaR 2014 |
Paper |
The basic information of both image-level and video-level COD datasets.
- Level: data type of dataset, i.e., Image(I) and Video(V).
- Train/Test: number of samples for training/testing, e.g., images for image dataset or frames for video dataset.
- Resolution: image or frame resolution, some may be a range from the smallest area to the largest area.
- Objects
- object categories of datasets.
- **N. Cam. **: whether collecting non-camouflaged samples.
- Labels
- Cls.: whether providing classification labels for Camouflaged Objects Classification(COCls). If so, the number of categories are provided.
- Fix.: whether providing fixation annotation for Camouflaged Objects Localization(COL).
- B. Box: whether providing bounding box labels.
- Obj.: whether providing object-level segmentation masks.
- Ins.: whether providing instance-level segmentation masks for Camouflaged Instance Segmentation (CIS).
- Ran.: whether providing ranking labels for Camouflaged Instance Rank (CIR).
- Scr.: whether providing weakly-supervised labels in scribbled form.
- Gro.: whether providing corresponding category annotation within group images for Collaborative Camouflaged Object Detection (CoCOD).
- Ref.: whether providing referring images for Referring Camouflaged Object Detection (RefCOD).
- Uns.: whether providing unseen classes for Open-Vocabulary Camouflaged Object Segmentation (OVCOS).
Name | Year | Pub. | Level | Statistics Total | Train | Test |
Resolution | Objects | Labels |
---|---|---|---|---|---|---|---|
OVCamo | 2023 | arXiv | I | 11483 | 7713 | 3770 | 300x199~2976x3968 | animals&humans | Cls.(75) Obj. Uns. |
R2C7K | 2023 | arXiv | I | 6615 | - | - | Camo: 300x199~2976x3968 Ref: 240x320~9500x9500 |
animals&humansN.Cam |
Cls.(64) Obj. Ref. |
CoCOD8K | 2023 | TNNLS | I | 8528 | 5933 |2595 | 154x156~5184x3456 | animals&humans | Cls.(70) Obj. Gro. |
CDS2K | 2023 | VI | I | 2492 | 0 |2492 | 322x320~1024x1024 | industrial defectN.Cam. |
Cls.(18) B.Box Obj. |
CAM-LDR | 2023 | TCSVT | I | 6066 | 4040 |2026 | 155x155~7360x4912 | animals&humans | Fix. Obj. Ins. Ran. |
S-COD | 2023 | AAAI | I | 4040 | 4040 | 0 | 155x155~7360x4912 | animals&humans | Scr. |
COD10K | 2022 | TPAMI | I | 10000 | 6000 | 4000 | 300x199~2976x3968 | animals&humansN.Cam |
Cls.(78) B.Box Obj. Ins. |
CAMO++ | 2022 | TIP | I | 5500 | 3500 | 2000 | unreleased | animals&humansN.Cam |
Cls.(93) B.Box Obj. Ins. |
MoCA-Mask | 2022 | CVPR | V | 22939 | 19313 | 3626 | 480x360~1920x1080 | animals | Cls.(44) B.Box Obj. |
CAM-FR | 2021 | CVPR | I | 2280 | 2000 | 280 | 155x155~7360x4912 | animals&humans | Fix. Obj. Ins. Ran. |
NC4K | 2021 | CVPR | I | 4121 | 0 | 4121 | 354x268~1280x960 | animals | Obj. Ins. |
MoCA | 2020 | ACCV | V | 37250 | 0 | 37250 | 480x360~1920x1080 | animals | Cls.(67) B.Box |
CAMO-COCO | 2019 | CVIU | I | 2500 | 2000 | 500 | 154x156~7360x4912 | animals&humansN.Cam. |
Obj. |
CPD1K | 2018 | SPL | I | 1000 | 0 | 1000 | 854x480 | people | Obj. |
CHAMELEON | 2017 | - | I | 76 | 0 | 76 | 450x300~2304x3456 | animals | Obj. |
CAD2016 | 2016 | ECCV | V | 836 | 0 | 836 | 640x360 | animals | Cls.(6) Obj. |
Name | Year | Pub. | Links | level |
---|---|---|---|---|
ClearPose | 2022 | ECCV | Paper | Image |
Trans10K-v2 | 2021 | IJCAI | Paper | Image |
GDD | 2020 | CVPR | Paper | Image |
Trans10K | 2020 | ECCV | Paper | Image |
TOM-Net | 2018 | CVPR | Paper | Image |
TransCut | 2015 | ICCV | Paper | Image |
Name | Year | Pub. | Links | level |
---|---|---|---|---|
MVTecAD | 2021 | IJCV | Paper | Image |
NEU (spot defect) |
2021 | TIM | Paper | Image |
MagneticTile defect | 2020 | VC | Paper | Image |
KolektorSDD | 2019 | CVPR | Paper | Image |
NEU (steel pit defect) |
2019 | TIM | Paper | Image |
CrackForest | 2016 | TITS | Paper | Image |
NEU (oil pollution defect) |
2014 | ISIJ | Paper | Image |
DAGM | - | - | Webpage | Image |
Name | Year | Pub. | Links | level |
---|---|---|---|---|
LDPolypVideo | 2021 | MICCAI | Paper | Video |
Kvasir-SEG | 2020 | MMM | Paper | Image |
EndoScene | 2017 | J HEALTHC ENG | Paper | Image |
CVC-ColonDB | 2016 | IEEE TMI | Paper | Image |
CVC-ClinicDB | 2015 | CMIG | Paper | Image |
ETIS | 2013 | Int J Comput Assist Radiol Surg | Paper | Image |
ASU-Mayo | - | - | Webpage | Image |
Name | Year | Pub. | Links | level |
---|---|---|---|---|
PN9 | 2021 | TPAMI | Paper | Image |
A Survey of Camouflaged Object Detection and Beyond COD
arxiv 2024. [Paper] [Code]
Aug. 2024
Advances in deep concealed scene understanding COD
CDS2K dataset
VI 2023. [Paper] [Code]
Aug. 2023
A systematic review of image-level camouflaged object detection with deep learning COD
Neucom 2024. [Paper]
Jan. 2024
Rethinking Camouflaged Object Detection: Models and Datasets COD
TCSVT 2021. [Paper]
Nov. 2021
Advancements in Optimization Algorithms for Lung Nodule Detection and Classification: A Review LND
ICOTL 2023. [Paper]
Dec. 2023
Detection of Lung Nodules using Convolution Neural Network: A Review LND
ICIRCA 2020. [Paper]
Jul. 2020