A parameter-efficient video-text retrieval method that trains only 0.56M parameters on top of frozen CLIP and achieves 50.5% R@1 on MSRVTT.
Vast: A vision-audio-subtitle-text omni-modality foundation model and dataset.Advances in Neural Information Processing Sys- tems, 2023
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DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
A parameter-efficient video-text retrieval method that trains only 0.56M parameters on top of frozen CLIP and achieves 50.5% R@1 on MSRVTT.