Self-supervised latent feature learning for partial point clouds recognition

Ziyu Zhang, Feipeng Da

Abstract: Highlights•A latent feature-based method for partial point clouds recognition.•The method is trained only on complete data by self-supervised learning.•The method generalizes well on partial point cloud dataset.•Two pretext self-learning tasks are proposed: (1) perspective prediction and (2) occlusion reconstruction.