Distinguishing computer graphics from natural images using convolution neural networks

2017 IEEE Workshop on Information Forensics and Security, WIFS 2017

Volumn 2018-January, Issue , 2017, Pages 1-6

  Rahmouni, Nicolas ^a   Nozick, Vincent ^b   Yamagishi, Junichi ^c   Echizen, Isao ^c  

^a ECOLE POLYTECHNIQUE   (France)

^b National Institute of Informatics   (Japan)

^c NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS; CONVOLUTION; DEEP LEARNING; PHOTOGRAPHY;

CLASS PROBABILITIES; COMPUTER GENERATED GRAPHICS; CONVOLUTION NEURAL NETWORK; CONVOLUTIONAL NEURAL NETWORK; LEARNING METHODS; PHOTO-REALISTIC; PHOTOGRAPHIC IMAGE; STATE-OF-THE-ART METHODS;

MULTILAYER NEURAL NETWORKS;

EID: 85045935345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIFS.2017.8267647     Document Type: Conference Paper

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