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Object Detection

2023

  • Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection. [project page]

    • Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, and Wayne Zhang. CVPR 2023

  • SOOD: Towards Semi-Supervised Oriented Object Detection. [project page]

    • Wei Hua, Dingkang Liang, Jingyu Li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, and Xiang Bai. CVPR 2023

  • MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection. [project page]

    • Liang Liu el al. CVPR 2023

  • Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection. [project page]

    • Chuandong Liu, Chenqiang Gao, Fangcen Liu, Pengcheng Li, Deyu Meng, and Xinbo Gao. 2023

2022

  • Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels. [pdf]

    • Yongri Piao, Chenyang Lu, Miao Zhang, Huchuan Lu. Neurips 2022

  • DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection. [pdf]

    • Gang Li, Xiang Li, Yujie Wang, Wu Yichao, Ding Liang, Shanshan Zhang. Neurips 2022

  • Dense Learning Based Semi-Supervised Object Detection. [pdf]

    • Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua. CVPR 2022

  • Label Matching Semi-Supervised Object Detection. [pdf]

    • Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang. CVPR 2022

  • Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes. [pdf]

    • Aoxue Li, Peng Yuan, Zhenguo Li. CVPR 2022

  • Active Teacher for Semi-Supervised Object Detection. [pdf]

    • Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji. CVPR 2022

  • Scale-Equivalent Distillation for Semi-Supervised Object Detection. [pdf]

    • Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo. CVPR 2022

  • Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors. [pdf]

    • Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira. CVPR2022

  • MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection. [pdf]

    • JongMok Kim, JooYoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak. CVPR 2022

  • Group R-CNN for Weakly Semi-supervised Object Detection with Points. [pdf]

    • Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen. CVPR 2022

  • Group R-CNN for Weakly Semi-supervised Object Detection with Points. [pdf]

    • Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen. CVPR 2022

2021

  • Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification. [pdf]

    • Zhenyu Wang, Yali Li, Ye Guo, Shengjin Wang. NeurIPS 2021

  • End-to-End Semi-Supervised Object Detection with Soft Teacher. [pdf]

    • Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu. ICCV 2021

  • Humble Teachers Teach Better Students for Semi-Supervised Object Detection. [pdf]

    • Yihe Tang, Weifeng Chen, Yijun Luo, Yuting Zhang. CVPR 2021

  • 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. [pdf]

    • He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas. CVPR 2021

  • Interpolation-Based Semi-Supervised Learning for Object Detection. [pdf]

    • Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak. CVPR 2021

  • Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework. [pdf]

    • Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li . CVPR 2021

  • Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection. [pdf]

    • Qize Yang, Xihan Wei, Biao Wang, Xian-Sheng Hua, Lei Zhang. CVPR 2021

  • Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection. [pdf]

    • Zhenyu Wang, Yali Li, Ye Guo, Lu Fang, Shengjin Wang. CVPR 2021

  • Points as Queries: Weakly Semi-supervised Object Detection by Points. [pdf]

    • Liangyu Chen, Tong Yang, Xiangyu Zhang, Wei Zhang, Jian Sun. CVPR 2021

  • Rethinking Pseudo Labels for Semi-Supervised Object Detection. [pdf]

    • Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis. Preprint 2021

  • Unbiased Teacher for Semi-Supervised Object Detection. [pdf] [code]

    • Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda. ICLR 2021

2020

  • SESS: Self-Ensembling Semi-Supervised 3D Object Detection. [pdf] [code]

    • Na Zhao, Tat-Seng Chua, Gim Hee Lee. CVPR 2020

  • A Simple Semi-Supervised Learning Framework for Object Detection. [pdf] [code]

    • Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister. Preprint 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

2019

  • Consistency-based Semi-supervised Learning for Object Detection. [pdf] [code]

    • Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak. ICCV 2019

  • NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. [pdf]

    • Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia. ICCV 2019

  • Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. [pdf]

    • Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin. ICCV 2019

  • Transferable Semi-Supervised 3D Object Detection From RGB-D Data. [pdf]

    • Yew Siang Tang, Gim Hee Lee. ICCV 2019

  • Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. [pdf]

    • Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang. CVPR 2019

2018

  • Adversarial Complementary Learning for Weakly Supervised Object Localization. [pdf]
    • Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas Huang. CVPR 2018

2017

  • ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. [pdf]
    • Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Prabhat, Christopher Pal. NeurIPS 2017

2016

  • Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer. [pdf]
    • Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandrea, Robert Gaizauskas, Liming Chen. CVPR 2016

2015

  • Watch and Learn: Semi-Supervised Learning for Object Detectors From Video. [pdf]
    • Ishan Misra, Abhinav Shrivastava, Martial Hebert. CVPR 2015

2013

  • Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video. [pdf]
    • Yang Yang, Guang Shu, Mubarak Shah. CVPR 2013