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How Do Video Foundation Models Encode Intuitive Physics? Probing Across Pretraining Paradigms

Punzo, Samuele et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognition
We study whether pretrained video foundation models encode intuitive-physics information in their frozen representations, and how this information varies across model families, layers, and probe types. Using frozen-feature probing on IntPhys2 and Minimal Video Pairs (MVP), we compare predictive join
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