Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding
Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding explores SemVID efficiently prunes visual tokens in video temporal grounding, achieving significant speedups with minimal accuracy loss, making it ideal for optimizing video-language model pipelines.. Commercial viability score: 7/10 in Video Understanding.
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