Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation
Bowei Xing,Xianghua Ying,Ruibin Wang,Bowei Xing,Xianghua Ying,Ruibin Wang
Point cloud is a popular and widely used geometric representation, which has attracted significant attention in 3D vision. However, the geometric variability of point cloud representations across different datasets can cause domain discrepancies, which hinder knowledge transfer and model generalization, resulting in degraded performance in target domain. In this paper, we present a novel approach ...
