AI RESEARCH
Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective
arXiv CS.AI
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ArXi:2605.26441v1 Announce Type: cross This paper addresses the challenging task of weakly-supervised video temporal grounding. Existing approaches are generally based on the moment proposal selection framework that utilizes contrastive learning and reconstruction paradigm for scoring the pre-defined moment proposals.