AI RESEARCH
CVA: Context-aware Video-text Alignment for Video Temporal Grounding
arXiv CS.AI
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ArXi:2603.24934v1 Announce Type: cross We propose Context-aware Video-text Alignment (CVA), a novel framework to address a significant challenge in video temporal grounding: achieving temporally sensitive video-text alignment that remains robust to irrelevant background context. Our framework is built on three key components. First, we propose Query-aware Context Diversification (QCD), a new data augmentation strategy that ensures only semantically unrelated content is mixed in.