Chenxin Tao

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

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Self-supervised learning has shown its great potential to extract powerful visual representations without human annotations. Various works are proposed to deal with self-supervised learning from different perspectives: (1) contrastive learning methods (e.g., MoCo, SimCLR) utilize …