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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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2022-05-01
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| シリーズ: | Frontiers in Computational Neuroscience |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fncom.2022.854218/full |
| タグ: |
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