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

21 Sep 2017 Thanh-Toan Do Anh Nguyen Ian Reid

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 label... (read more)

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