Jan. 21, 2022, 2:10 a.m. | Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi

cs.CV updates on arXiv.org arxiv.org

Deepfakes are the result of digital manipulation to forge realistic yet fake
imagery. With the astonishing advances in deep generative models, fake images
or videos are nowadays obtained using variational autoencoders (VAEs) or
Generative Adversarial Networks (GANs). These technologies are becoming more
accessible and accurate, resulting in fake videos that are very difficult to be
detected. Traditionally, Convolutional Neural Networks (CNNs) have been used to
perform video deepfake detection, with the best results obtained using methods
based on EfficientNet B7. …

arxiv cv detection transformers video vision

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