Skip to content

SongYii/awesome-weakly-supervised-object-detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 

Repository files navigation

Awesome Weakly Supervised Object Detection Awesome

A curated list of awesome Weakly Supervised Object Detection resources. Inspired by awesome-deep-vision, awesome-deep-learning-papers, and awesome-self-supervised-learning

Contributing

Please feel free to send me pull requests or email (songyii@tju.edu.cn) to add links.

Markdown format:

- Paper Name. 
  [[pdf]](link) 
  [[code]](link)
  - Author 1, Author 2, and Author 3. *Conference Year*

Table of Contents

Papers

Survey

  • Weakly Supervised Object Localization and Detection: A Survey. [pdf]
    • Dingwen Zhang, Junwei Han, Gong Cheng, Ming-Hsuan Yang. TPAMI

Only Image-level Labels

2021

  • Instance Mining with Class Feature Banks for Weakly Supervised Object Detection. [pdf]
    • Yufei Yin, Jiajun Deng, Wengang Zhou, Houqiang Li. AAAI 2021

2020

  • Object Instance Mining for Weakly Supervised Object Detection. [pdf] [code]

    • Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang. AAAI 2020
  • Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. [pdf] [code]

    • Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz. CVPR 2020
  • SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection. [pdf]

    • Ze Chen, Zhihang Fu, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua. CVPR 2020
  • High-Quality Proposals for Weakly Supervised Object Detection. [pdf]

    • Gong Cheng, Junyu Yang, Decheng Gao, Lei Guo, Junwei Han. TIP
  • Enabling Deep Residual Networks for Weakly Supervised Object Detection. [pdf] [Caffe2 Code] [PyTorch Code]

    • Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu. ECCV 2020
  • Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection. [pdf] [code]

    • Zeyi Huang*, Yang Zou*, Vijayakumar Bhagavatula, and Dong Huang. NeurIPS 2020

2019

  • C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. [pdf] [code]

    • Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye. CVPR 2019
  • Dissimilarity Coefficient Based Weakly Supervised Object Detection. [pdf]

    • Aditya Arun, C.V. Jawahar, M. Pawan Kumar. CVPR 2019
  • Towards Precise End-to-end Weakly Supervised Object Detection Network. [pdf]

    • Ke Yang, Dongsheng Li, Yong Dou. ICCV 2019
  • WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection. [pdf]

    • Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang. ICCV 2019
  • Weakly Supervised Object Detection With Segmentation Collaboration. [pdf]

    • Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen. ICCV 2019
  • Weakly Supervised Object Detection With Segmentation Collaboration. [pdf]

    • Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa. ICCV 2019
  • C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection. [pdf]

    • Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan. ICCV 2019

2018

  • PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. [pdf] [code]

    • Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan Yuille. TPAMI
  • Min-Entropy Latent Model for Weakly Supervised Object Detection. [pdf] [code]

    • Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye. CVPR 2018
  • Zigzag Learning for Weakly Supervised Object Detection. [pdf]

    • Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong, Qi Tian. CVPR 2018
  • W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection. [pdf]

    • Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem. CVPR 2018
  • Weakly Supervised Region Proposal Network and Object Detection. [pdf]

    • Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan Yuille. ECCV 2018
  • TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. [pdf]

    • Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas Huang. ECCV 2018
  • Collaborative Learning for Weakly Supervised Object Detection. [pdf]

    • Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang. IJCAI 2018

2017

  • Multiple Instance Detection Network With Online Instance Classifier Refinement. [pdf] [code]
    • Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu. CVPR 2017

2016

  • Weakly Supervised Deep Detection Networks. [pdf] [code]
    • Hakan Bilen, Andrea Vedaldi. CVPR 2016

Others

  • Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. [pdf] [code]

    • Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang. ECCV 2020
  • C-WSL: Count-guided Weakly Supervised Localization. [pdf]

    • Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis. ECCV 2018

Tutorials and Talks

  • ECCV 2020 tutorial on Weakly Supervised Learning in Computer Vision. [link]

Benchmarks

  • Weakly Supervised Object Detection. paperswithcode. [link]

About

A paper list of Weakly Supervised Object Detection (WSOD) resources.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published