2022
Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement
IROS 2022poster
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 part…