Submitted by Andreas Rössler.

Submission data

Full nameRecast c23
DescriptionMethod as in publication, used on a 128x128 centered crop of a tracked face. More details see the FaceForensics++ paper.
Publication titleRecasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection
Publication authorsD. Cozzolino, G. Poggi, and L. Verdoliva
Publication venueACM Workshop on Information Hiding and Multimedia Security,
Publication URLhttps://arxiv.org/abs/1703.04615
Input Data TypesUses Face Detection
Programming language(s)Python, Keras
HardwareGeForce 1080ti
Submission creation date13 Mar, 2019
Last edited13 Mar, 2019

Binary Classification

InfoDeepfakesFace2FaceFaceSwapPristineTotal
0.8360.8470.8250.3260.581