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Found 2 papers, 2 papers with code
STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning
In addition to spatial relations, we also propose 50K visual depictions across 10 temporal relations, consisting of videos depicting event/time-point interactions.
Compositional Learning of Visually-Grounded Concepts Using Reinforcement
Overall, our results are the first to demonstrate that RL agents can be trained to implicitly learn concepts and compositionality, to solve more complex environments in zero-shot fashion.
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