computer-vision
Multiple Affordance Detection
3260 papers • 126 benchmarks • 313 datasets
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 )
(Image credit: Papersgraph)
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Most implemented papers
What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection
W. Mayol-Cuevas, Eduardo Ruiz•Sun Dec 02 2018
This 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 based on highly parallelizable, one-shot learning that is fast in commodity hardware.
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