2021
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
ICCV 2021poster
Large-scale point cloud semantic segmentation has wide applications. Current popular researches mainly focus on fully supervised learning which demands expensive and tedious manual point-wise annotation. Weakly supervised learning is an alternative way to avoid this exhausting annotation. However, f…