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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Bibliografiska uppgifter
Huvudupphovsmän: Fang Tian, Hailun Xie, Yiying Song, Siyuan Hu, Jia Liu
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2022-05-01
Serie:Frontiers in Computational Neuroscience
Ämnen:
face inversion effect
deep convolutional neural network
VGG-Face
face system
AlexNet
Länkar:https://www.frontiersin.org/articles/10.3389/fncom.2022.854218/full
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