Browse State-of-the-Art › Multiple Affordance Detection
Multiple Affordance Detection
1 paper with code · 0 benchmarks · 0 datasets archive 2025-07-28
Affordance detection is the task of detecting objects that are usable (or graspable) by a human.
( Image credit: What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection )
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1 shown of 1 paper with code (1 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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3 Dec 2018 1 repository listedThis paper develops and evaluates a novel method that allows for the detection of affordances in a scalable and multiple-instance manner on visually recovered pointclouds.
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