학술논문
A weakly supervised framework for real-world point cloud classification
Document Type
Article
Author
Source
In Computers & Graphics February 2022 102:78-88
Subject
Language
ISSN
0097-8493
Abstract
Highlights •A novel weakly supervised framework for real-world point cloud classification.•A local and non-local graph based relational graph convolutional network (PointRGCN).•A noise-robust multi-task loss combining classification and segmentation losses.