GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
Abstract: Open-Vocabulary 3D object affordance grounding aims to anticipate "action possibilities" regions on 3D objects with arbitrary instructions, which is crucial for robots to generically ...
Abstract: Pillar-based feature learning patterns have demonstrated high efficiency for 3D object detection, fostering the research of environmental perception for autonomous vehicles. However, ...
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