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Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks
Recently, deep convolutional neural networks (DCNNs) have attained human-level performances on challenging object recognition tasks owing to their complex internal representation. However, it remains unclear how objects are represented in DCNNs with an overwhelming number of features and non-linear...
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| Publicado no: | Front Comput Neurosci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7755594/ https://ncbi.nlm.nih.gov/pubmed/33362499 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2020.578158 |
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