Text-Video Retrieval via Multi-Dimensional Saliency Assessment and Granularity-Aware Query Decomposition
Text-video retrieval, which aims to bridge visual and textual modalities by learning a joint embedding space, has become a crucial task in multimodal intelligence. Despite extensive efforts to mitigate visual redundancy, previous methods typically rely on a single-aspect criterion to assess visual importance, overlooki...