Clustering based Contrastive Learning for Improving Face Representations
Clustering based Contrastive Learning for Improving Face Representations
A good clustering algorithm can discover natural groupings in data. These groupings, if used wisely, provide a form of weak supervision for learning representations. In this work, we present Clustering-based Contrastive Learning (CCL), a new clustering-based representation learning approach that uses labels obtained from clustering along with video constraints to …