mlsanityData to 14 Oct 2026

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering

arXiv 2211.03779 ↗First posted 7 Nov 2022cs.CV cs.CLcited by 13

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Abstract (arXiv)

Videos often capture objects, their visible properties, their motion, and the interactions between different objects. Objects also have physical properties such as mass, which the imaging pipeline is unable to directly capture. However, these properties can be estimated by utilizing cues from relative object motion and the dynamics introduced by collisions. In this paper, we introduce CRIPP-VQA, a new video question answering dataset for reasoning about the implicit physical properties of objects in a scene. CRIPP-VQA contains videos of objects in motion, annotated with questions that involve counterfactual reasoning about the effect of actions, questions about planning in order to reach a goal, and descriptive questions about visible properties of objects. The CRIPP-VQA test set enables evaluation under several out-of-distribution settings -- videos with objects with masses, coefficients of friction, and initial velocities that are not observed in the training distribution. Our experiments reveal a surprising and significant performance gap in terms of answering questions about implicit properties (the focus of this paper) and explicit properties of objects (the focus of prior work).

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 45 of its 59 references that are in the map. First posted on arXiv 7 Nov 2022.

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45 of 59 references.

References · 45

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33 more
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