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Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex
Deep Convolutional Neural Networks (CNNs) are gaining traction as the benchmark model of visual object recognition, with performance now surpassing humans. While CNNs can accurately assign one image to potentially thousands of categories, network performance could be the result of layers that are tu...
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| Veröffentlicht in: | Sci Rep |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7016009/ https://ncbi.nlm.nih.gov/pubmed/32051467 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-59175-0 |
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