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Found 2 papers, 1 papers with code
Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs
Road attributes understanding is extensively researched to support vehicle's action for autonomous driving, whereas current works mainly focus on urban road nets and rely much on traffic signs.
Robotics
3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection
This paper aims at developing a faster and a more accurate solution to the amodal 3D object detection problem for indoor scenes.
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