Distribution-Alignment Bridge for Uncertainty-Aware Text-to-Video Retrieval
This paper proposes the Distribution-Alignment Bridge (DAB), a framework that reconceptualizes text-to-video retrieval as a distribution alignment task rather than traditional deterministic point matching, and introduces a distribution-aware contrastive loss based on Kullback-Leibler divergence.