Causal view mechanism for adversarial domain adaptation-Reference-Cited by-同舟云学术

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Causal view mechanism for adversarial domain adaptation

Published:2023-05-09 Issue:30 Volume:82 Page:47347-47366
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Fu Zihao,Wang Shengsheng^ORCID,Zhao Xin,Long Sifan,Wang Bilin

Funder

Innovation Capacity Construction Project of Jilin Province Development and Reform Commission

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15683-5.pdf

Reference53 articles.

1. Ben-David S, Blitzer J, Crammer K, Pereira F (2007) Analysis of representations for domain adaptation. Adv Neural Inf Process Syst 19:137

2. Chen M, Zhao S, Liu H, Cai D (2020) Adversarial-learned loss for domain adaptation. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 3521–3528

3. Cui S, Wang S, Zhuo J, Li L, Huang Q, Tian Q (2020) Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), pp. 3941–3950

4. Cui S, Wang S, Zhuo J, Su C, Huang Q, Tian Q (2020) Gradually vanishing bridge for adversarial domain adaptation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12455–12464

5. Deng Z, Luo Y, Zhu J (2019) Cluster alignment with a teacher for unsupervised domain adaptation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 9944–9953

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