Review
Oct 2026
GIFTBench: Diagnosing Generalization in Image Forgery Localization and Informing Model Design
Reliable evaluation of image forgery localization (IFL) requires assessing models under diverse distribution changes, yet existing benchmarks often cover limited manipulation conditions or entangle multiple factors in cross-dataset evaluation. Consequently, aggregate performance provides an incomplete view of localizat...
Bao-Ke Dou, Zi-Ye Wang, Hao Wang et al.
· 0 citations