3D deep learning finds crucial applications nowadays in many domains, including robotics, autonomous driving, virtual reality, and medical diagnosis. The 3D data required for training is collected using 3D sensors such as LiDAR (Light Detection And Ranging) and Depth cameras (e.g. RGB-D cameras). With increased numbers of 3D sensors, collecting data for training and capturing…

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