懂AI
awesome-camouflaged-object-detection

awesome-camouflaged-object-detection

伪装物体检测研究进展综述与资源汇总

本项目全面总结伪装物体检测(COD)领域的研究进展,涵盖检测、分割、场景理解等方向。汇集顶级论文、数据集和代码资源,定期更新最新成果。为研究人员提供了解COD前沿进展的重要参考。

伪装物体检测计算机视觉深度学习图像分割数据集Github开源项目
访问官网GitHub论文文档

Awesome Camouflaged Object Detection <a href="https://github.com/sindresorhus/awesome"><img src="figs/awesome.png" alt="Awesome" style="max-width: 100%;" width="100"></a>

A curated list of awesome resources for Camouflaged Object Detection (COD), including:

  • Camouflaged/Concealed Object Detection (COD)
  • Camouflaged/Concealed Object Segmentation (COS)
  • Camouflaged/Concealed Scene Understanding (CSU)

We commit to maintaining regular updates to ensure the continuous enhancement of this resource.

:loudspeaker: [04/2024] Update CVPR2024 papers.
:loudspeaker: [01/2024] Update ICLR2024, WACV2024 papers.
:loudspeaker: [12/2023] Update NeurIPS2023, AAAI2024 papers.
:loudspeaker: [08/2023] Update ICCV2023, MM2023, etc. papers for COD and CIS.
:loudspeaker: [04/2023] Update CVPR2023 papers for COD and CIS.

:heavy_exclamation_mark: <sub>Static Badge</sub>

<!--TOC-->

Content:

<!-- - [Overview](#Overview) -->

COD

<!--Transformer for COD: 1) [COD] Boosting COD with Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer, ICPR 2) [COD] High-resolution Iterative Feedback Network for Camouflaged Object Detection, arXiv 3) [COD] Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection, ICCV21 4) [CIS] OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers, ECCV22 5) [COD] Generative Transformer for Accurate and Reliable Salient Object Detection, arXiv -->

Preprint

YearPub.TitleLinks
--arXivAdaptive Guidance Learning for Camouflaged Object Detection <br> <sup><sub>Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang, Ying Tai</sub></sup>Paper/Code
--arXivThe Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation <br> <sup><sub>Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, et al.</sub></sup>Paper/Code
--arXivLeveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation <br> <sup><sub>Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung</sub></sup>Paper/Code
--arXivPre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection <br> <sup><sub>Yinghui Xing, Dexuan Kong, Shizhou Zhang, Geng Chen, Lingyan Ran, Peng Wang, Yanning Zhang</sub></sup>Paper/Code
--arXivJoint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning <br> <sup><sub>Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, Yuchao Dai</sub></sup>Paper/Code
--arXivReferring Camouflaged Object Detection <br> <sup><sub>Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng</sub></sup>Paper/Code
--arXivDQnet: Cross-Model Detail Querying for Camouflaged Object Detection <br> <sup><sub>Wei Sun, Chengao Liu, Linyan Zhang, Yu Li, Pengxu Wei, Chang Liu, Jialing Zou, Jianbin Jiao, Qixiang Ye</sub></sup>Paper/Code
--arXivTransformer transforms salient object detection and camouflaged object detection <br> <sup><sub>Yuxin Mao, Jing Zhang, Yuchao Dai, et al.</sub></sup>Paper/Code
--arXivExploring Depth Contribution for Camouflaged Object Detection <br> <sup><sub>Mochu Xiang, Jing Zhang, Yunqiu Lv, et al.</sub></sup>Paper/Code
--arXivTowards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion <br> <sup><sub>Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen</sub></sup>Paper/Code
--arXivBoundary-Aware Segmentation Network for Mobile and Web Applications <br> <sup><sub>Xuebin Qin, Deng-Ping Fan, Chenyang Huang, et al.</sub></sup>Paper/Code

2024

YearPub.TitleLinks
2024TPAMIZoomNeXt: 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>Official/arXiv/<br>Code
2024ICMLSpider: A Unified Framework for Context-dependent Concept Understanding <br> <sup><sub>Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu</sub></sup>Paper/Code
2024CVPRLAKE-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>Paper/Code
2024CVPRVSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning <br> <sup><sub>Ziyang Luo, Nian Liu, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Khan, Junwei Han</sub></sup>Paper/Code
2024CVPRDepth-Aware Concealed Crop Detection in Dense Agricultural Scenes <sub>Static Badge</sub> <br> <sup><sub>Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng</sub></sup>Paper/Code
2024ICLRStrategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects <br> <sup><sub>Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu</sub></sup>Paper/Code
2024ICASSPEdge Attention Learning for Efficient Camouflaged Object Detection <br> <sup><sub>Zijian Liu; Ping Jiang; Lixin Lin; Xiaoheng Deng</sub></sup>Paper/Code
2024AAAICamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models <br> <sup><sub>Chen, Zhongxi and Sun, Ke and Lin, Xianming and Ji, Rongrong</sub></sup>Paper/Code
2024AAAIRelax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects GenSAM <br> <sup><sub>Jian Hu, Jiayi Lin, Weitong Cai, Shaogang Gong</sub></sup>Paper/Proj/<br>Code
2024WACVCamoFocus: Enhancing Camouflage Object Detection With Split-Feature Focal Modulation and Context Refinement <br> <sup><sub>Abbas Khan, Mustaqeem Khan, Wail Gueaieb, Abdulmotaleb El Saddik, Giulia De Masi, Fakhri Karray</sub></sup>Paper/Code
--------
2024TPAMICamoFormer: Masked Separable Attention for Camouflaged Object Detection <br> <sup><sub>Bowen Yin; Xuying Zhang; Deng-Ping Fan; Shaohui Jiao; Ming-Ming Cheng; Luc Van Gool; Qibin Hou</sub></sup>Official/arXiv/<br>Code
2024IJCVTowards Diverse Binary Segmentation via A Simple yet General Gated Network <br> <sup><sub>Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang</sub></sup>Paper/Code
2024TMMDecoupling and Integration Network for Camouflaged Object Detection <br> <sup><sub>Xiaofei Zhou; Zhicong Wu; Runmin Cong</sub></sup>Paper/Code
2024KBSSDRNet: Camouflaged object detection with independent reconstruction of structure and detail <br> <sup><sub>Juwei Guan, Xiaolin Fang, Tongxin Zhu, Weiqi Qian</sub></sup>Paper/Code
2024TCSVTEdge Perception Camouflaged Object Detection under Frequency Domain Reconstruction <br> <sup><sub>Zijian Liu; Xiaoheng Deng; Ping Jiang; Conghao Lv; Geyong Min; Xin Wang</sub></sup>Paper/Code
2024TCSVTEfficient Camouflaged Object Detection Network Based on Global Localization Perception and Local Guidance Refinement <br> <sup><sub>Xihang Hu; Xiaoli Zhang; Fasheng Wang; Jing Sun; Fuming Sun</sub></sup>Paper/Code
2024TCSVTFinding Camouflaged Objects Along the Camouflage Mechanisms <br> <sup><sub>Yang Yang; Qiang Zhang</sub></sup>Paper/Code
2024AppIntTwo guidance joint network based on coarse map and edge map for camouflaged object detection <br> <sup><sub>Zhe Tang, Jing Tang, Dengpeng Zou, Junyi Rao & Fang Qi</sub></sup>Paper/Code
2024ApplSciCamouflaged Object Detection That Does Not Require Additional Priors <br> <sup><sub>Yuchen Dong, Heng Zhou, Chengyang Li, Junjie Xie, Yongqiang Xie, and Zhongbo Li</sub></sup>Paper/Code
2024NeucomA systematic review of image-level camouflaged object detection with deep learning <br> <sup><sub>Yanhua Liang, Guihe Qin, Minghui Sun, Xinchao Wang, Jie Yan, Zhonghan Zhang</sub></sup>Paper/Code

2023

YearPub.TitleLinks
2023NeurIPSWeakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping <br> <sup><sub>Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li</sub></sup>Paper/Code
2023ACM MMA Unified Query-based Paradigm for Camouflaged Instance Segmentation <br> <sup><sub>Do Dong, Jialun Pei, Rongrong Gao, Tian-Zhu Xiang, Shuo Wang, Huan Xiong</sub></sup>Paper/Code
2023ACM MMFrequency Perception Network for Camouflaged Object Detection <br> <sup><sub>*Runmin Cong, Mengyao Sun, Sanyi Zhang,

编辑推荐精选

蛙蛙写作

蛙蛙写作

AI小说写作助手，一站式润色、改写、扩写

蛙蛙写作—国内先进的AI写作平台，涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能，助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。

AI辅助写作AI工具蛙蛙写作AI写作工具学术助手办公助手营销助手AI助手
Trae

Trae

字节跳动发布的AI编程神器IDE

Trae是一种自适应的集成开发环境（IDE），通过自动化和多元协作改变开发流程。利用Trae，团队能够更快速、精确地编写和部署代码，从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能，是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
问小白

问小白

全能AI智能助手，随时解答生活与工作的多样问题

问小白，由元石科技研发的AI智能助手，快速准确地解答各种生活和工作问题，包括但不限于搜索、规划和社交互动，帮助用户在日常生活中提高效率，轻松管理个人事务。

热门AI助手AI对话AI工具聊天机器人
Transly

Transly

实时语音翻译/同声传译工具

Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手，它拥有超精准的音频识别翻译能力，几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球，无论你是留学生、商务人士、韩剧美剧爱好者，还是出国游玩、多国会议、跨国追星等等，都可以满足你所有需要同传的场景需求，线上线下通用，扫除语言障碍，让全世界的语言交流不再有国界。

讯飞智文

讯飞智文

一键生成PPT和Word，让学习生活更轻松

讯飞智文是一个利用 AI 技术的项目，能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定，还是学生群体的职业生涯规划、实习避坑指南，亦或是活动策划、旅游攻略等内容，它都能提供支持，帮助用户精准表达，轻松呈现各种信息。

AI办公办公工具AI工具讯飞智文AI在线生成PPTAI撰写助手多语种文档生成AI自动配图热门
讯飞星火

讯飞星火

深度推理能力全新升级，全面对标OpenAI o1

科大讯飞的星火大模型，支持语言理解、知识问答和文本创作等多功能，适用于多种文件和业务场景，提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台，涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能，能为不同需求的用户提供便捷高效的帮助，助力用户轻松获取信息、解决问题，满足多样化使用场景。

热门AI开发模型训练AI工具讯飞星火大模型智能问答内容创作多语种支持智慧生活
Spark-TTS

Spark-TTS

一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型

Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目，由多个知名机构联合参与。该项目提供了高效的 LLM（大语言模型）驱动的语音合成方案，支持语音克隆和语音创建功能，可通过命令行界面（CLI）和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数，生成高质量的语音。该项目适用于多种场景，如有声读物制作、智能语音助手开发等。

咔片PPT

咔片PPT

AI助力，做PPT更简单！

咔片是一款轻量化在线演示设计工具，借助 AI 技术，实现从内容生成到智能设计的一站式 PPT 制作服务。支持多种文档格式导入生成 PPT，提供海量模板、智能美化、素材替换等功能，适用于销售、教师、学生等各类人群，能高效制作出高品质 PPT，满足不同场景演示需求。

讯飞绘文

讯飞绘文

选题、配图、成文，一站式创作，让内容运营更高效

讯飞绘文，一个AI集成平台，支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容，加速品牌传播，提升内容营销效果。

热门AI辅助写作AI工具讯飞绘文内容运营AI创作个性化文章多平台分发AI助手
材料星

材料星

专业的AI公文写作平台，公文写作神器

AI 材料星，专业的 AI 公文写作辅助平台，为体制内工作人员提供高效的公文写作解决方案。拥有海量公文文库、9 大核心 AI 功能，支持 30 + 文稿类型生成，助力快速完成领导讲话、工作总结、述职报告等材料，提升办公效率，是体制打工人的得力写作神器。

下拉加载更多