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...
Main Authors: | Chuang, Ching-Yao, Li, Jiaman, Torralba, Antonio, Fidler, Sanja |
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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 |
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