Open access
Aug 2026
Enhancing Cross-Dataset Generalization in Image Forgery Detection via Mixed-Domain Training and Adaptive Thresholding
The paper suggests a hybrid training system and adaptive thresholding to improve the generalization of cross-datasets in image forgery detection and indicates that mixed-domain training is a practical approach that can reduce dataset bias and increase generalization.
Varsha Thakur, Rohit Agarwal
· Journal of Intelligent Decis... · 0 citations