Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement
Meng-Shiun Tsai,Pei-Ze Chiang,Yi-Hsuan Tsai,Wei-Chen Chiu,Meng-Shiun Tsai,Pei-Ze Chiang,Yi-Hsuan Tsai,Wei-Chen Chiu
Self-supervised learning on point clouds has gained a lot of attention recently, since it addresses the label-efficiency and domain-gap problems on point cloud tasks. In this paper, we propose a novel self-supervised framework to learn informative features from partial point clouds. We leverage partial point clouds scanned by LiDAR that contain both content and pose attributes, and we show that di...
