Towards Generalized and Practical Unsupervised Domain Adaptation in Computer Vision


Yao, Kai (2023) Towards Generalized and Practical Unsupervised Domain Adaptation in Computer Vision. PhD thesis, University of Liverpool.

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Item Type: Thesis (PhD)
Uncontrolled Keywords: UDA, OCDA, SF-UniDA, SDG, Domain Shift, Category Shift, Image Segmentation, Image Classification
Divisions: Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 02 Feb 2024 14:37
Last Modified: 02 Feb 2024 14:37
DOI: 10.17638/03176771
Supervisors:
  • Sun, Jie
  • Huang, Kaizhu
  • Curran, Judith
URI: https://livrepository.liverpool.ac.uk/id/eprint/3176771
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