Abstract: Self-supervised point cloud representation learning aims to acquire robust and general feature representations from unlabeled data. Recently, masked point modeling-based methods have shown ...

Abstract: Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face ...

Please provide your email address to receive an email when new articles are posted on . Between 50% to 75% of children struggle with adhering to health care regimens. Rebecca Liu, a senior at UCLA, ...