Learning to Act Properly: Predicting and Explaining Affordances from Images

We address the problem of affordance reasoning in diverse scenes that appear in the real world. Affordances relate the agent's actions to their effects when taken on the surrounding objects. In our work, we take the egocentric view of the scene, and aim to reason about action-object affordances...

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Bibliographic Details
Main Authors: Chuang, Ching-Yao, Li, Jiaman, Torralba, Antonio, Fidler, Sanja
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: IEEE 2020
Online Access:https://hdl.handle.net/1721.1/123477