2023
Semantic Centralized Contrastive Learning for Unsupervised Hashing
ICASSP 2023accepted
Contrastive learning has shown its potential in many unsupervised tasks, including hashing. However, the representations obtained by contrastive learning generally fail to produce no-table margins between semantic classes. Different semantic samples around the boundary are likely to collide into the…