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...
| Published in: | Frontiers in Computational Neuroscience |
|---|---|
| Main Authors: | Fang Tian, Hailun Xie, Yiying Song, Siyuan Hu, Jia Liu |
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-05-01
|
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2022.854218/full |
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