Deepfake Video Detection Using Generative Convolutional Vision Transformer

doi:doi:10.57702/wf787ugj

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.

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The json representation of the dataset with its distributions based on DCAT.
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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

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Deressa Wodajo
More Authors	Solomon Atnafu Zahid Akhtar