Björn Michele*

Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation

"We tackle the challenging problem of source-free unsupervised domain adaptation (SFUDA) for 3D semantic segmentation. It amounts to performing domain adaptation on an unlabeled target domain without any access to source data; the available information is a model trained to achieve good performance…