Uncertainty-aware Self-supervised 3D Data Association
Jianren Wang,Siddharth Ancha,Yi-Ting Chen,David Held,Jianren Wang,Siddharth Ancha,Yi-Ting Chen,David Held
3D object trackers usually require training on large amounts of annotated data that is expensive and time-consuming to collect. Instead, we propose leveraging vast unlabeled datasets by self-supervised metric learning of 3D object trackers, with a focus on data association. Large scale annotations for unlabeled data are cheaply obtained by automatic object detection and association across frames. ...
