Author:
Song Dan,Yang Yuanxiang,Li Wenhui,Li Xuanya,Liu Min,Liu An-An
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Subject
Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems
Reference47 articles.
1. Bai, Z., Wang, Z., Wang, J., Hu, D., & Ding, E. (2021). Unsupervised Multi-Source Domain Adaptation for Person Re-Identification. In IEEE conference on computer vision and pattern recognition, CVPR 2021, virtual, june 19-25, 2021 (pp. 12914–12923).
2. A theory of learning from different domains;Ben-David;Machine Learning,2010
3. MultiDIAL: Domain alignment layers for (multisource) unsupervised domain adaptation;Carlucci;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021
4. Informative feature disentanglement for unsupervised domain adaptation;Deng;IEEE Transactions on Multimedia,2022
5. Du, Z., Li, J., Su, H., Zhu, L., & Lu, K. (2021). Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. In IEEE conference on computer vision and pattern recognition, CVPR 2021, virtual, june 19-25, 2021 (pp. 3937–3946).
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