Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework

Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai. Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 14411-14420, IEEE, 2022. [doi]

@inproceedings{TaoWZDSHD22,
  title = {Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework},
  author = {Chenxin Tao and Honghui Wang and Xizhou Zhu and Jiahua Dong and Shiji Song and Gao Huang and Jifeng Dai},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.01403},
  url = {https://doi.org/10.1109/CVPR52688.2022.01403},
  researchr = {https://researchr.org/publication/TaoWZDSHD22},
  cites = {0},
  citedby = {0},
  pages = {14411-14420},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6946-3},
}