Deep Learning Based One-Class Detection System for Fake Faces Generated by GAN Network.

Li, Shengyin; Dutta, Vibekananda; He, Xin; Matsumaru, Takafumi

Li, Shengyin; Dutta, Vibekananda; He, Xin; Matsumaru, Takafumi.

Afiliación

Li S; Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan.
Dutta V; Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan.
He X; Institute of Micromechanics and Photonics, Faculty of Mechatronics, Warsaw University of Technology, 00-661 Warszawa, Poland.
Matsumaru T; Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan.

Sensors (Basel) ; 22(20)2022 Oct 13.

Article en En | MEDLINE | ID: mdl-36298117

Asunto(s)

Aprendizaje Profundo; Redes Neurales de la Computación; Procesamiento de Imagen Asistido por Computador/métodos

Palabras clave

Generative Adversarial Network (GAN); Multi-Channel Convolutional Neural Network (MCCNN); Weakly Supervised Learning (WSL); attention learning; data augmentation; deep learning; face anti-spoofing; self-attention

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza

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