Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations. (arXiv:2211.01174v1 [cs.CV])

Point cloud segmentation with scene-level annotations is a promising but
challenging task. Currently, the most popular way is to employ the class
activation map (CAM) to locate discriminative regions and then generate
point-level pseudo labels from scene-level annotations. However, these methods
always suffer from the point imbalance among categories, as well as the sparse
and incomplete supervision from CAM. In this paper, we propose a novel weighted
hypergraph convolutional network-based method, called WHCN, to confront the
challenges of learning point-wise …

annotations arxiv cloud hypergraph network segmentation semantic