AINeutralarXiv – CS AI · 6h ago6/10
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Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation
Researchers propose HAS-KD, a knowledge distillation method that improves 3D semantic segmentation by transferring knowledge from multi-modal models and training snapshots to single-modal point cloud networks. The approach achieves state-of-the-art results on benchmark datasets while reducing computational costs and maintaining inference efficiency.