The Face Inversion Effect in Deep Convolutional Neural Networks

The face inversion effect (FIE) is a behavioral marker of face-specific processing that the recognition of inverted faces is disproportionately disrupted than that of inverted non-face objects. One hypothesis is that while upright faces are represented by face-specific mechanism, inverted faces are...

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Autores principales: Fang Tian, Hailun Xie, Yiying Song, Siyuan Hu, Jia Liu
Formato: Artigo
Lenguaje:Inglês
Publicado: Frontiers Media S.A. 2022-05-01
Colección:Frontiers in Computational Neuroscience
Materias:
face inversion effect
deep convolutional neural network
VGG-Face
face system
AlexNet
Acceso en línea:https://www.frontiersin.org/articles/10.3389/fncom.2022.854218/full
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