Extending MesoNet to six convolutional layers and swapping the deepfake training images for Stable Diffusion images raises three-class accuracy from 43% to 76% on a small in-distribution dataset, without external validation.
Fused classification for differential face morphing detection,
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Detecting Facial Image Manipulations with Multi-Layer CNN Models
Extending MesoNet to six convolutional layers and swapping the deepfake training images for Stable Diffusion images raises three-class accuracy from 43% to 76% on a small in-distribution dataset, without external validation.