Cross-Lidar Domain Adaptation for Semantic Segmentation via Semi-Supervised Learning and Map Annotation
This paper proposes a domain adaptation method for different lidars in point cloud semantic segmentation using semi-supervised learning and map annotation. This approach addresses the significant costs associated with acquiring point-level annotations in target domains. We first perform representation learning using la...