CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
Semi-Supervised Learning

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CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

Computer Vision and Pattern Recognition (CVPR), 2021

18 February 2021

Clayton Mellina

Fan Yang

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Papers citing "CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning"

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Title
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning Ju He Adam Kortylewski Shaokang Yang Shuai Liu Cheng Yang Changhu Wang Alan Yuille 105 26 0 01 Jun 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021 Cheng Zhang Tai-Yu Pan Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao ObjD VLM 313 47 0 17 Feb 2021
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 141 18 0 02 Dec 2020