Non-uniform radial voxelization with arithmetic-progression intervals improves LiDAR semantic segmentation accuracy and efficiency on SemanticKITTI and nuScenes.
Pointnet: Deep learning on point sets for 3d classification and segmentation,
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NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation
Non-uniform radial voxelization with arithmetic-progression intervals improves LiDAR semantic segmentation accuracy and efficiency on SemanticKITTI and nuScenes.