Funder
Basic and Applied Basic Research Foundation of Guangdong Province
Shantou University
National Natural Science Foundation of China
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference48 articles.
1. J. Wen, R. Greiner, D. Schuurmans, Domain Aggregation Networks for Multi-Source Domain Adaptation, in: International Conference on Machine Learning, Vol. 119, 2020, pp. 10214–10224.
2. X. Peng, Q. Bai, X. Xia, Z. Huang, K. Saenko, B. Wang, Moment matching for multi-source domain adaptation, in: IEEE International Conference on Computer Vision, 2019, pp. 1406–1415.
3. G.Y. Park, S.W. Lee, Information-theoretic regularization for Multi-source Domain Adaptation, in: IEEE International Conference on Computer Vision, 2021, pp. 9214–9223.
4. A two-way alignment approach for unsupervised multi-source domain adaptation;Liu;Pattern Recognit.,2022
5. Structure-preserving image translation for multi-source medical image domain adaptation;Kang;Pattern Recognit.,2023