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Deep learning has achieved unprecedented success in various object detection tasks with huge amounts of labeled data.
“Rectified linear units improve restricted boltzmann machines,”
Vinod Nair and Geoffrey E Hinton, · 2010
Earlier work this paper cites.
“Faster r-cnn: towards real-time object detection with region proposal networks,”
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun, · 2016
Earlier work this paper cites.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Earlier work this paper cites.
“Feature pyramid networks for object detection,”
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie, · 2017
Earlier work this paper cites.
“No fuss distance metric learning using proxies,”
Yair Movshovitz-Attias, Alexander Toshev, Thomas K Leung, Sergey Ioffe, and Saurabh Singh, · 2017
Earlier work this paper cites.
“Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results,”
Antti Tarvainen and Harri Valpola, · 2017
Earlier work this paper cites.
“Automatic differentiation in pytorch,”
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer, · 2017
Earlier work this paper cites.
“Unsupervised feature learning via non-parametric instance discrimination,”
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin, · 2018
Cited alongside, same era.
“Weakly supervised deep learning for whole slide lung cancer image analysis,”
Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, and Pheng-Ann Heng, · 2019
Cited alongside, same era.
“Deep segmentation-emendation model for gland instance segmentation,”
Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, and Yong Xia, · 2019
Cited alongside, same era.
“Arcface: Additive angular margin loss for deep face recognition,”
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou, · 2019
Cited alongside, same era.
“Consistency-based semi-supervised learning for object detection,”
Jisoo Jeong, Seungeui Lee, Jeesoo Kim, and Nojun Kwak, · 2019
Cited alongside, same era.
“Focalmix: Semi-supervised learning for 3d medical image detection,”
“Momentum contrast for unsupervised visual representation learning,”
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick, · 2020
Later among the works it cites.
“Cross-domain detection via graph-induced prototype alignment,”
Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, and Wenjun Zhang, · 2020
Later among the works it cites.
“Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis,”
Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, and Pheng-Ann Heng, · 2021
Closest in time.
“Oxnet: Deep omni-supervised thoracic disease detection from chest x-rays,”
Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, and Pheng-Ann Heng, · 2021
Closest in time.
“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, and Peter Vajda, · 2021
Closest in time.
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Dong Wang, Yuan Zhang, Kexin Zhang, and Liwei Wang, · 2020
Cited alongside, same era.
“Deep semi-supervised knowledge distillation for overlapping cervical cell instance segmentation,”
Yanning Zhou, Hao Chen, Huangjing Lin, and Pheng-Ann Heng, · 2020
Cited alongside, same era.
“Co-mining: Self-supervised learning for sparsely annotated object detection,”
Tiancai Wang, Tong Yang, Jiale Cao, and Xiangyu Zhang, · 2021
Closest in time.