Attention-based cross-layer domain alignment for unsupervised domain adaptation

Author:

Ma Xu,Yuan Junkun,Chen Yen-wei,Tong Ruofeng,Lin Lanfen

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference48 articles.

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3. Z. Ding, S. Li, M. Shao, Y. Fu, Graph adaptive knowledge transfer for unsupervised domain adaptation, in: Proceedings of the European Conference on Computer Vision (ECCV), pp. 37–52.

4. Y.-W. Luo, C.-X. Ren, P. Ge, K.-K. Huang, Y.-F. Yu, Unsupervised domain adaptation via discriminative manifold embedding and alignment, in: Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, pp. 5029–5036.

5. R. Zhu, X. Jiang, J. Lu, S. Li, Transferable feature learning on graphs across visual domains, in: 2021 IEEE International Conference on Multimedia and Expo (ICME), IEEE, pp. 1–6.

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3. Generalized Universal Domain Adaptation with Generative Flow Networks;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Universal Domain Adaptation via Compressive Attention Matching;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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