A fused CNN-ViT model achieves 97.32% accuracy distinguishing AI-generated from real images on the CIFAKE dataset.
In: 2017 IEEE Workshop on Information Forensics and Security (WIFS)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
AI-Generated Image Recognition via Fusion of CNNs and Vision Transformers
A fused CNN-ViT model achieves 97.32% accuracy distinguishing AI-generated from real images on the CIFAKE dataset.