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Training-Free Temporal Abstraction for General Video Understanding

Casanova, Etienne et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognition
Videos are expensive to analyze frame by frame, yet many video understanding tasks depend on knowing where relevant moments occur. A system may need to find when an action changes, locate the segment described by a sentence, or choose a few frames for a vision-language model. Existing methods often
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