Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look

Yong Zhang, Rui Zhu, Shifeng Zhang +3

Self-supervised contrastive learning heavily relies on the view variance brought by data augmentation, so that it can learn a view-invariant pre-trained representation. Beyond incr…