CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering (2022.emnlp-main)
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| Challenge: | Videos often capture objects, their visible properties, their motion, and the interactions between different objects. |
| Approach: | They propose a video question answering dataset for reasoning about the implicit physical properties of objects in a scene. |
| Outcome: | The proposed dataset 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. |
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