AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection

international conference on robotics and automation, 2018.

Cited by: 72|Bibtex|Views25|Links
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Abstract:

We propose AffordanceNet, a new deep learning approach to simultaneously detect multiple objects and their affordances from RGB images. Our AffordanceNet has two branches: an object detection branch to localize and classify the object, and an affordance detection branch to assign each pixel in the object to its most probable affordance la...More

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