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1 Ergebnisse
1
A Deep-Neural-Network-Based Approach To Detecting Forgery I..:
, In:
2022 International Conference on Machine Learning and Cybernetics (ICMLC)
,
Fahn, Chin-Shyurng
;
Wu, Tzu-Chin
- p. 115-123 , 2022
Link:
https://doi.org/10.1109/ICMLC56445.2022.9941295
RT T1
2022 International Conference on Machine Learning and Cybernetics (ICMLC)
: T1
A Deep-Neural-Network-Based Approach To Detecting Forgery Images Generated From Various Generative Adversarial Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-9941295&Exemplar=1&LAN=DE A1 Fahn, Chin-Shyurng A1 Wu, Tzu-Chin YR 2022 SN 2160-1348 K1 Learning systems K1 Training K1 Deep learning K1 Neural networks K1 Discrete Fourier transforms K1 Generative adversarial networks K1 Forgery K1 Generative adversarial network K1 Forgery image detection K1 Discrete Fourier transform K1 Contrastive learning SP 115 OP 123 LK http://dx.doi.org/https://doi.org/10.1109/ICMLC56445.2022.9941295 DO https://doi.org/10.1109/ICMLC56445.2022.9941295 SF ELIB - SuUB Bremen
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