AI RESEARCH
Comparative Evaluation of Deep Learning Models for Fake Image Detection
arXiv CS.CV
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ArXi:2605.20971v1 Announce Type: new The growing sophistication of GAN-based image manipulation presents significant challenges for digital forensics. This study compares the performance of four pretrained CNN architectures including VGG16, ResNet50, EfficientNetB0, and XceptionNet for fake image detection using a unified preprocessing and