2025
Contrastive Learning via Randomly Generated Deep Supervision
ICASSP 2025accepted
Unsupervised visual representation learning has gained significant attention in the computer vision community, driven by recent advancements in contrastive learning. Most existing contrastive learning frameworks rely on instance discrimination as a pretext task, treating each instance as a distinct…