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Awesome-Semi-Supervised-Object-Detection

A Reading List of Semi Supervised Object Detection

Survey

Semi-supervised Object Detection: A Survey on Recent Research and Progress; Yanyang Wang, Zhaoxiang Liu, Shiguo Lian; arXiv 2023

2023

(AAAI) Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection; Lei Zhang, Yuxuan Sun, Wei Wei; [code]

(arXiv) Efficient Teacher: Semi-Supervised Object Detection for YOLOv5; Bowen Xu, Mingtao Chen, Wenlong Guan, Lulu Hu; [code]

(arXiv) Online Open-set Semi-supervised Object Detection by Valuable Instances Mining; Zerun Wang, Ling Xiao, Liuyu Xiang, Zhaotian Weng, Toshihiko Yamasaki

(CVPR) Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection; Chang Liu, Weiming Zhang, Xiangru Lin, Wei Zhang, Xiao Tan, Junyu Han, Xiaomao Li, Errui Ding, Jingdong Wang; [code]

(CVPR) Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection; Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang; [code]

(CVPR) MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection; Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang; [code]

(CVPRW) Revisiting Class Imbalance for End-to-End Semi-Supervised Object Detection; Purbayan Kar, Vishal Chudasama, Naoyuki Onoe, Pankaj Wasnik

(CVPR) Semi-DETR: Semi-Supervised Object Detection With Detection Transformers; Jiacheng Zhang, Xiangru Lin, Wei Zhang, Kuo Wang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li; [code]

(ICCV) Adaptive Self-Training for Object Detection; Renaud Vandeghen, Gilles Louppe, Marc Van Droogenbroeck; [code]

2022

(AAAI) Rethinking Pseudo Labels for Semi-supervised Object Detection; Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis

(AAAI) Semi-supervised Object Detection with Adaptive Class-Rebalancing Self-Training; Fangyuan Zhang, Tianxiang Pan, Bin Wang

(arXiv) S4OD: Semi-Supervised learning for Single-Stage Object Detection; Yueming Zhang, Xingxu Yao, Chao Liu, Feng Chen, Xiaolin Song, Tengfei Xing, Runbo Hu, Hua Chai, Pengfei Xu, Guoshan Zhang

(CVPR) Dense Learning based Semi-Supervised Object Detection; Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua; [code]

(CVPR) DETReg: Unsupervised Pretraining With Region Priors for Object Detection; Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson; [code]

(CVPR) Label Matching Semi-Supervised Object Detection; Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang; [code]

(CVPR) MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection; JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak; [code]

(CVPR) Omni-DETR: Omni-Supervised Object Detection with Transformers; Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto; [code]

(CVPR) Scale-Equivalent Distillation for Semi-Supervised Object Detection; Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo

(CVPR) Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors; Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira; [code]

(ECCV) Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection; Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun; [code]

(ECCV) PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection; Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang; [code]

(ECCV) Semi-supervised Object Detection via Virtual Category Learning; Changrui Chen, Kurt Debattista, Jungong Han; [code]

(ECCV) Semi-Supervised 3D Object Detection with Proficient Teachers; Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang; [code]

(ICIAP) Improving Localization for Semi-Supervised Object Detection; Leonardo Rossi, Akbar Karimi, Andrea Prati; [code]

(NeurIPS) DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection; Gang Li, Xiang Li, Yujie Wang, Wu Yichao, Ding Liang, Shanshan Zhang; [code]

2021

(CVPR) Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection; Zhenyu Wang, Yali Li, Ye Guo, Lu Fang, Shengjin Wang

(CVPR) Humble Teachers Teach Better Students for Semi-Supervised Object Detection; Yihe Tang, Weifeng Chen, Yijun Luo, Yuting Zhang

(CVPR) Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework; Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li

(CVPR) Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection; Qize Yang, Xihan Wei, Biao Wang, Xian-Sheng Hua, Lei Zhang

(ICCV) End-to-End Semi-Supervised Object Detection with Soft Teacher; Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu; [code]

(ICLR) Unbiased Teacher for Semi-Supervised Object Detection; Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda; [code]

2020

(arXiv) A Simple Semi-Supervised Learning Framework for Object Detection; Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister; [code]

2019

(NeurIPS) Consistency-based Semi-supervised Learning for Object detection; Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak; [code1], [code2]

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