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Deepfake Video Detection Using Generative Convolutional Vision Transformer

Deepfake video detection using Generative Convolutional Vision Transformer (GenConViT) for deepfake video detection. Our model combines ConvNeXt and Swin Transformer models for feature extraction, and it utilizes Autoencoder and Variational Autoencoder to learn from the latent data distribution.

Data and Resources

Cite this as

Deressa Wodajo, Solomon Atnafu, Zahid Akhtar (2024). Dataset: Deepfake Video Detection Using Generative Convolutional Vision Transformer. https://doi.org/10.57702/wf787ugj

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Deressa Wodajo
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Solomon Atnafu
Zahid Akhtar