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pro vyhledávání: '"Shen, Dongrui"'
In this paper, we focus on analyzing the excess risk of the unpaired data generation model, called CycleGAN. Unlike classical GANs, CycleGAN not only transforms data between two unpaired distributions but also ensures the mappings are consistent, whi
Externí odkaz:
http://arxiv.org/abs/2407.11678
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 39, Iss 5, Pp 1022-1028 (2021)
The rapid and accurate integrity assessment of targets can provide important guarantee and reference for the subsequent decision of the implementer. The current research on target integrity assessment mainly adopts single data source or complex proba
Externí odkaz:
https://doaj.org/article/db2b14ad7850497092cd3ef5303cee86
