3260 papers • 126 benchmarks • 313 datasets
Affordance detection refers to identifying the potential action possibilities of objects in an image, which is an important ability for robot perception and manipulation. Image source: Object-Based Affordances Detection with Convolutional Neural Networks and Dense Conditional Random Fields Unlike other visual or physical properties that mainly describe the object alone, affordances indicate functional interactions of object parts with humans.
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