Attracting and dispersing: A simple approach for source-free domain adaptation

S Yang, S Jui, J van de Weijer - Advances in Neural …, 2022 - proceedings.neurips.cc
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 …
被引用次数：128 相关文章

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

S Yang, Y Wang, K Wang, S JUI - Advances in Neural Information …, 2022 - openreview.net
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 …

Attracting and dispersing: a simple approach for source-free domain adaptation

S Yang, Y Wang, K Wang, S Jui… - Proceedings of the 36th …, 2022 - dl.acm.org
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 …

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

S Yang, Y Wang, K Wang, S Jui… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

S Yang, Y Wang, K Wang, S Jui… - arXiv e …, 2022 - ui.adsabs.harvard.edu
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 …