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We tackle the long-tailed visual recognition problem from the knowledge distillation perspective by proposing a Distill the Virtual Examples (DiVE) method.
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C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
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Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, and Xin Geng · 2017
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Accurate, large minibatch SGD: Training ImageNet in 1 hour
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Focal loss for dense object detection
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Yu-Xiong Wang, Deva Ramanan, and Martial Hebert · 2017
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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A gift from knowledge distillation: Fast optimization, network minimization and transfer learning
Junho Yim, Donggyu Joo, Jihoon Bae, and Junmo Kim · 2017
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Decoupling representation and classifier for long-tailed recognition
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, and Yannis Kalantidis · 2020
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Long-tail learning via logit adjustment
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, and Sanjiv Kumar · 2020
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Balanced meta-softmax for long-tailed visual recognition
Jiawei Ren, Cunjun Yu, Xiao Ma, Haiyu Zhao, Shuai Yi, et al · 2020
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Equalization loss for long-tailed object recognition
Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, and Junjie Yan · 2020
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Long-tailed classification by keeping the good and removing the bad momentum causal effect
Kaihua Tang, Jianqiang Huang, and Hanwang Zhang · 2020
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Class-balanced loss based on effective number of samples
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LVIS: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
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Disentangling label distribution for long-tailed visual recognition
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Rethinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective
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Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, and Stella X Yu · 2020
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Learning from multiple experts: Self-paced knowledge distillation for long-tailed classification
Liuyu Xiang, Guiguang Ding, and Jungong Han · 2020
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Rethinking the value of labels for improving class-imbalanced learning
Yuzhe Yang and Zhi Xu · 2020
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Revisiting knowledge distillation via label smoothing regularization
Li Yuan, Francis Eh Tay, Guilin Li, Tao Wang, and Jiashi Feng · 2020
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BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition
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Inflated episodic memory with region self-attention for long-tailed visual recognition
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Background splitting: Finding rare classes in a sea of background
Ravi Teja Mullapudi, Fait Poms, William R Mark, Deva Ramanan, and Kayvon Fatahalian · 2021
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