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RVLoss achieves a 20% performance boost in self-supervised LiDAR scene flow estimation by enforcing motion rigidity through a novel runoff voting mechanism.
P-RWKV achieves competitive performance in 3D point cloud representation learning while slashing computational costs and inference latency compared to traditional methods.
