Sergey Zotov, R. Dremliuga, A. Borshevnikov, Ksenia Krivosheeva
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We analyzed the developed methods of computer vision in areas associated with recognition and detection of DeepFakes using various models and architectures of neural networks: mainly GAN and CNN. We also discussed the main types and models of these networks that are most effective in detecting and recognizing objects from different data sets, which were provided in the studied articles.
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