Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning

Jidong Ge, Yuxiang Liu, Jie Gui +5

Self-supervised learning enables networks to learn discriminative features from massive data itself. Most state-of-the-art methods maximize the similarity between two augmentations…