obj_detection.md

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