Tomotake Furuhata

MuGNet: Multi-Resolution Graph Neural Network for Segmenting Large-Scale Pointclouds

In this paper, we propose a multi-resolution deep-learning architecture to segment dense large-scale pointclouds semantically. Dense pointcloud data require a computationally expensive feature encoding process before semantic segmentation. Previous work has used different approaches to drastically d