Benchmark Results - FaceForensics Benchmark

Method	Deepfakes	Face2Face	FaceSwap	Pristine	Total

Xception (FaceForensics++)	0.882	0.715	0.718	0.797	0.783
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner: FaceForensics++. arxiv
Expert Human (Justus Thies)	0.773	0.321	0.689	0.880	0.726

XceptionFull (FaceForensics++)	0.755	0.759	0.699	0.697	0.719
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner: FaceForensics++. arxiv
MesoNet c40	0.700	0.489	0.612	0.823	0.707
Darius Afchar, Vincent Nozick, Junichi Yamagishi, Isao Echizen: MesoNet: a Compact Facial Video Forgery Detection Network. WIFS 2018
Bayar c23	0.882	0.730	0.650	0.614	0.684
B. Bayar and M. Stamm: A deep learning approach to universal image manipulation detection using a new convolutional layer. ACM Workshop on Information Hiding and Multimedia Security
Rahmouni c40	0.691	0.401	0.447	0.709	0.607
N. Rahmouni, V. Nozick, J. Yamagishi, and I. Echizen: Distinguishing computer graphics from natural images using convolution neural networks. IEEE Workshop on Information Forensics and Security
Recast c23	0.836	0.847	0.825	0.326	0.581
D. Cozzolino, G. Poggi, and L. Verdoliva: Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection. ACM Workshop on Information Hiding and Multimedia Security,