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Self-adaptive label filtering learning for unsupervised domain adaptation

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grants Nos. 62176128 and 61702273), the Natural Science Foundation of Jiangsu Province (BK20170956), the Open Projects Program of National Laboratory of Pattern Recognition (202000007), the Fundamental Research Funds for the Central Universities (NJ2019010), the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) fund, the Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX21_1006, and was also sponsored by the Qing Lan Project.

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Authors and Affiliations

  1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Qing Tian, Heyang Sun, Shun Peng & Tinghuai Ma

  2. Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Qing Tian & Tinghuai Ma

Authors
  1. Qing Tian
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  2. Heyang Sun
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  3. Shun Peng
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  4. Tinghuai Ma
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Correspondence to Qing Tian.

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Tian, Q., Sun, H., Peng, S. et al. Self-adaptive label filtering learning for unsupervised domain adaptation. Front. Comput. Sci. 17, 171308 (2023). https://doi.org/10.1007/s11704-022-1283-6

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  • DOI: https://doi.org/10.1007/s11704-022-1283-6

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