HAS-KD combines information-oriented heterogeneous distillation from multi-modal models with adept snapshot distillation from training checkpoints to reach SOTA 3D semantic segmentation on ScanNetV2 and S3DIS without added inference burden.
Towards large- scale 3d representation learning with multi-dataset point prompt training.arXiv preprint arXiv:2308.09718, 2023
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Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation
HAS-KD combines information-oriented heterogeneous distillation from multi-modal models with adept snapshot distillation from training checkpoints to reach SOTA 3D semantic segmentation on ScanNetV2 and S3DIS without added inference burden.