CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations

Mohammadreza Zolfaghari, Yi Zhu, Peter Gehler +1

Contrastive learning allows us to flexibly define powerful losses by contrasting positive pairs from sets of negative samples. Recently, the principle has also been used to learn c…