Combining EfficientNet and Vision Transformers for Video Deepfake Detection

Understand

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.