Abstract: The prohibitive cost of annotations for fully supervised 3D indoor object detection limits its practicality. In this work, we propose Random Prompt Assisted Weakly-supervised 3D Object ...
Abstract: 3D single object tracking plays a crucial role in numerous applications such as autonomous driving. Recent trackers based on motion-centric paradigm perform well as they exploit motion cues ...
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