A distilled 11.6M-parameter point cloud segmentation student matches the accuracy of a 100M+ parameter teacher on ScanNet and stays close on nuScenes, using affinity and cross-sample similarity losses.
3d point cloud segmentation: A survey
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation
A distilled 11.6M-parameter point cloud segmentation student matches the accuracy of a 100M+ parameter teacher on ScanNet and stays close on nuScenes, using affinity and cross-sample similarity losses.