AWESOME_COD_LIST.md

Awesome List for Camouflaged Object Detection (COD)

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< Last updated: Nov/12/2022 >

1. Content

• Awesome List for Camouflaged Object Detection (COD)
  • 1. Content
  • 2. Paper List
    • 2.1. Datasets & Benchmarks
      • 2.1.1. Video-level COD
      • 2.1.2. Image-level COD
    • 2.2. Camouflaged Object Detection (COD)
      • 2.2.1. YEAR 2023
      • 2.2.2. YEAR 2022
      • 2.2.3. YEAR 2021
      • 2.2.4. Before YEAR 2020
    • 2.3. Camouflaged Instance Segmentation (CIS)
    • 2.4. Video Camouflaged Object Detection (VCOD)

2. Paper List

2.1. Datasets & Benchmarks

2.1.1. Video-level COD

Dataset Name	Year	Publication	Links
MoCA-Mask	2022	CVPR	Paper
MoCA	2020	ACCV	Paper

2.1.2. Image-level COD

Dataset Name	Year	Publication	Links
NC4K	2021	CVPR	Paper
COD10K	2020	CVPR	Paper
CAMO	2019	CVIU	Paper
CPD1K	2019	SPL	Paper
CHAMELEON	2017	Online	Website

2.2. Camouflaged Object Detection (COD)

2.2.1. YEAR 2023

Year	Publication	Title	Links
2023	AAAI	Weakly-Supervised Camouflaged Object Detection with Scribble Annotations Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W.H. Lau	Paper
2023	AAAI	High-resolution Iterative Feedback Network for Camouflaged Object Detection Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao	Paper/Code
2023	MIR	Deep Gradient Learning for Efficient Camouflaged Object Detection (DGNet model) Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool	Paper/Code

2.2.2. YEAR 2022

Year	Publication	Title	Links
2022	TPAMI	Concealed Object Detection (SINetV2 model & COD10K dataset) Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao	Paper/Code
2022	TIP	Feature Aggregation and Propagation Network for Camouflaged Object Detection Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang	Paper/Code
2022	CICAI	AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection Zeyu Zhao, Zhihao Liu & Chenglei Peng	Paper/Code
2022	arXiv	Boundary-Aware Segmentation Network for Mobile and Web Applications (BAS model) Xuebin Qin, Deng-Ping Fan, Chenyang Huang, et al.	Paper/Code
2022	arXiv	Towards Deeper Understanding of Camouflaged Object Detection (LSR extension) Yunqiu Lv, Jing Zhang, Yuchao Dai, et al.	Paper/Code
2022	ACM MM	PreyNet: Preying on camouflaged objects M Zhang, S Xu, Yongri Piao, D Shi, S Lin, H Lu	Paper/Code
2022	IJCAI	Boundary-Guided Camouflaged Object Detection Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang	Paper/Code
2022	CVPR	Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way Qi Jia, S. Yao, Yu Liu, et al.	Paper/Code
2022	CVPR	Detecting Camouflaged Object in Frequency Domain Yijie Zhong, Bo Li, Lv Tang, et al.	Paper/Code
2022	CVPR	Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu	Paper/Code
2022	AAAI	I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection Hongwei Zhu, Peng Li, Haoran Xie, Mingqiang Wei, et al.	Paper/Code
2022	WACV	Modeling Aleatoric Uncertainty for Camouflaged Object Detection Jiawei Liu, Jing Zhang, Nick Barnes	Paper/Code
2022	TCSVT	Camouflaged Object Detection via Context-aware Cross-level Fusion (C2FNet Extension) Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou	Paper/Code
2022	TMM	Deep Texton-Coherence Network for Camouflaged Object Detection Wei Zhai, Yang Cao, HaiYong Xie, Zheng-Jun Zha	Paper/Code
2022	KBS	Boundary-guided network for camouflage object detection Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang	Paper/Code
2022	PR	CubeNet: X-shape connection for camouflaged object detection Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen	Paper/Code
2022	PR	Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu	Paper/Code
2022	TOMM	Frequency-aware Camouflaged Object Detection Jiaying Lin, Xin Tan, Ke Xu, Lizhuang Ma, Rynson W.H. Lau	Paper/Code

2.2.3. YEAR 2021

Year	Publication	Title	Links
2021	ICCV	Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection Fan Yang, Qiang Zhai, Xin Li, Rui Huang, et al.	Paper/Code
2021	CVPR	Uncertainty-aware Joint Salient Object and Camouflaged Object Detection Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai	Paper/Code
2021	CVPR	Simultaneously Localize, Segment and Rank the Camouflaged Objects (NC4K) Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, et al.	Paper/Code
2021	CVPR	Mutual Graph Learning for Camouflaged Object Detection Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan	Paper/Code
2021	CVPR	Camouflaged Object Segmentation with Distraction Mining Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan	Paper/Code
2021	IJCAI	Context-aware Cross-level Fusion Network for Camouflaged Object Detection Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu	Paper/Code
2021	AAAI	Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu	Paper/Code
2021	AAAI	CamouFinder: Finding Camouflaged Instances in Images Trung-Nghia Le, Vuong Nguyen, Cong Le, et al.	Paper/Video
2021	TIFS	Integrating Part-Object Relationship and Contrast for Camouflaged Object Detection Yi Liu, Dingwen Zhang, Qiang Zhang, and Jungong Han	Paper/Code
2021	TIE	D2C-Net: A Dual-branch, Dual-guidance and Cross-refine Network for Camouflaged Object Detection Kang Wang, Hongbo Bi, Yi Zhang, Cong Zhang, Ziqi Liu, Shuang Zheng	Paper/Code
2021	TCSVT	Deep Texture-Aware Features for Camouflaged Object Detection Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, et al.	Paper/Code
2021	TCSVT	Rethinking Camouflaged Object Detection: Models and Datasets Hongbo Bi, Cong Zhang, Kang Wang, Jinghui Tong, Feng Zheng	Paper/Code
2021	Access	MirrorNet: Bio-Inspired Camouflaged Object Segmentation Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen	Paper/Project
2021	arXiv	Exploring Depth Contribution for Camouflaged Object Detection Mochu Xiang, Jing Zhang, Yunqiu Lv, et al.	Paper/Code
2021	arXiv	Accurate Camouflaged Object Detection via Mixture Convolution and Interactive Fusion Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen	Paper/Code

2.2.4. Before YEAR 2020

Year	Publication	Title	Links
2020	CVPR	Camouflaged Object Detection (SINet & COD10K dataset) Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao	Paper/Code
2019	CVIU	Anabranch network for camouflaged object segmentation (CAMO dataset) Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto	Paper/Code
2019	SPL	Detection of People With Camouflage Pattern Via Dense Deconvolution Network (CPD1K dataset) Yunfei Zheng, Xiongwei Zhang, Feng Wang, Tieyong Cao, Meng Sun, Xiaobing Wang	Paper/Code
2018	TIP	A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain Shuai Li, Dinei Florencio, Wanqing Li, Yaqin Zhao, Chris Cook	Paper/Code
2016	IJCV	Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour    Ajoy Mondal, Susmita Ghosh, Ashish Ghosh	Paper/Code

2.3. Camouflaged Instance Segmentation (CIS)

Year	Publication	Title	Links
2022	ECCV	OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers Jialun Pei, Tianyang Cheng, Deng-Ping Fan, et al.	Paper/Code
2022	TIP	Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, et al.	Paper/Project

2.4. Video Camouflaged Object Detection (VCOD)

Year	Publication	Title	Links
2022	CVPR	Implicit Motion Handling for Video Camouflaged Object Detection (MoCA-Mask dataset) Xuelian Cheng, Huan Xiong, Deng-Ping Fan, et al.	Paper/Code
2022	CVPR	A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information Matthew Kowal, Mennatullah Siam, Md Amirul Islam, et al.	Paper/Code
2022	ACCV	Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation Hala Lamdouar, Charig Yang, Weidi Xie, et al.	Paper/Code
2022	arXiv	EM-driven unsupervised learning for efficient motion segmentation Etienne Meunier, Ana¨ıs Badoual, and Patrick Bouthemy.	Paper/Code
2022	arXiv	Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks Matthew Kowal, Mennatullah Siam, Md Amirul Islam, et al.	Paper/Code
2022	arXiv	The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields Pia Bideau, Erik Learned-Miller, Cordelia Schmid, et al.	Paper/Code
2021	ICCV	Self-Supervised Video Object Segmentation by Motion Grouping Charig Yang, Hala Lamdouar, Erika Lu, et al.	Paper/Code
2021	BMVC	Segmenting Invisible Moving Objects Hala Lamdouar, Weidi Xie, and Andrew Zisserman.	Paper/Code
2016	ECCV	It’s Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos    Bideau, Pia, and Erik Learned-Miller.	Paper/Code