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Durham Research Online
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Data augmentation via mixed class interpolation using cycle-consistent generative adversarial networks applied to cross-domain imagery.

Sasaki, H. and Willcocks, C.G. and Breckon, T.P. (2021) 'Data augmentation via mixed class interpolation using cycle-consistent generative adversarial networks applied to cross-domain imagery.', 25th International Conference on Pattern Recognition (ICPR 2020) Milan, Italy, 10-15 January 2021.


Item Type:Conference item (Paper)
Full text:Publisher-imposed embargo
(AM) Accepted Manuscript
File format - PDF
(1972Kb)
Status:Peer-reviewed
Publisher Web site:https://www.micc.unifi.it/icpr2020/?utm_source=researchbib
Date accepted:11 October 2020
Date deposited:27 October 2020
Date of first online publication:10 January 2021
Date first made open access:No date available

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