Remco F. Leijenaar

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning

Learning semantically meaningful representations from unstructured 3D point clouds remains a central challenge in computer vision, especially in the absence of large-scale labeled datasets. While masked point modeling (MPM) is widely used in self-supervised 3D learning, its reconstruction-based obje…