Intrinsic Temporal Adaptation of CLIP for Partially Relevant Video Retrieval
This paper proposes an Intrinsic Temporal Adaptation (ITA) framework for PRVR, and introduces Affinity-Weighted Gradient Propagation to address the weakly supervised nature of PRVR, softly aggregating top-$k$ frames based on text-frame affinities and propagating learning signals to multiple query-relevant frames.