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

Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang. CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. pages 10857-10866, Computer Vision Foundation / IEEE, 2021. [doi]

@inproceedings{WeiSMYY21,
  title = {CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning},
  author = {Chen Wei and Kihyuk Sohn and Clayton Mellina and Alan L. Yuille and Fan Yang},
  year = {2021},
  url = {https://openaccess.thecvf.com/content/CVPR2021/html/Wei_CReST_A_Class-Rebalancing_Self-Training_Framework_for_Imbalanced_Semi-Supervised_Learning_CVPR_2021_paper.html},
  researchr = {https://researchr.org/publication/WeiSMYY21},
  cites = {0},
  citedby = {0},
  pages = {10857-10866},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021},
  publisher = {Computer Vision Foundation / IEEE},
}