Multi-source domain adaptation handling inaccurate label spaces

Author:

Li KeqiuyinORCID,Lu Jie,Zuo Hua,Zhang Guangquan

Funder

Australian Research Council

Publisher

Elsevier BV

Reference49 articles.

1. L. Hoyer, D. Dai, H. Wang, L. Van Gool, MIC: Masked image consistency for context-enhanced domain adaptation, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2023, pp. 11721–11732.

2. AMT-CDR: A deep adversarial multi-channel transfer network for cross-domain recommendation;Lu;ACM Trans. Intell. Syst. Technol.,2024

3. Complex-valued GMDH-based data characteristic-driven adaptive decision support system for customer classification;Jia;IEEE Trans. Syst. Man Cybern. Syst.,2023

4. Robust domain correction latent subspace learning for gas sensor drift compensation;Yi;IEEE Trans. Syst. Man Cybern. Syst.,2023

5. Dynamic instance domain adaptation;Deng,2022

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