Synthetic-to-Real Domain Adaptation with Virtual Laser Scanning and Self-Training–Based Category-Aware Cuboid Mixing for Semantic Segmentation of Bridge Point Clouds

Abstract

AbstractA scarcity of real-world point clouds poses a considerable challenge in training a bridge semantic segmentation model. Although virtual point cloud synthetization offers a promising alternative, the persistent domain gap between synthetic and real-...