aminshennan/Forgery_Detection_with_ViT_and_RestNet
Deep learning system achieving 95.36% accuracy in media forgery detection using hybrid ResNet50+ViT architecture. Optimized for 20% training data efficiency with PyTorch, OpenCV, and Flask-based inference pipeline.
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May 28, 2025
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