Attracting and dispersing: A simple approach for source-free domain adaptation
We propose a simple but effective source-free domain adaptation (SFDA) method. Treating
SFDA as an unsupervised clustering problem and following the intuition that local neighbors …
SFDA as an unsupervised clustering problem and following the intuition that local neighbors …
Model adaptation: Unsupervised domain adaptation without source data
In this paper, we investigate a challenging unsupervised domain adaptation setting---
unsupervised model adaptation. We aim to explore how to rely only on unlabeled target data …
unsupervised model adaptation. We aim to explore how to rely only on unlabeled target data …