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CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating

Concentrate and Concentrate (CaC) is a coarse-to-fine anomaly reward model based on Vision-Language Models that first conducts a global temporal scan to anchor anomalous time windows, then performs fine-grained spatial grounding within the localized interval, and finally derives robust judgments via structured spatiote...

Jiyuan Wang, Huan Ouyang, Jiu-Zhou Lin et al. · 5 citations

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