Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training
Author:
Affiliation:
1. University of Technology Sydney,Faculty of Engineering and IT,Sydney,NSW,Australia
Funder
Australian Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892718.pdf?arnumber=9892718
Reference45 articles.
1. Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
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5. Learning transferable features with deep adaptation networks;long;Proceedings of the International Conference on Machine Learning (ICML),2015
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