A 2.78M-parameter student distilled from a 46.16M-parameter Point Transformer V3 teacher stays within a few mIoU points on LiDAR segmentation while being roughly 16x smaller and 1.6x faster.
Cmdfusion: Bidirectional fusion network with cross-modality knowledge distillation for lidar semantic segmentation.IEEE Robotics and Automation Letters, 9(1):771– 778, 2024
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Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing
A 2.78M-parameter student distilled from a 46.16M-parameter Point Transformer V3 teacher stays within a few mIoU points on LiDAR segmentation while being roughly 16x smaller and 1.6x faster.