Learning Long-term Visual Dynamics with Region Proposal Interaction Networks

international conference on learning representations, 2021.

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We propose Region Proposal Interaction Networks for physical interaction prediction, which is applied across both simulation and real world environments for long-range prediction and planning.

Abstract:

Learning long-term dynamics models is the key to understanding physical common sense. Most existing approaches on learning dynamics from visual input sidestep long-term predictions by resorting to rapid re-planning with short-term models. This not only requires such models to be super accurate but also limits them only to tasks where an a...More
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