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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755594/ https://www.ncbi.nlm.nih.gov/pubmed/33362499 http://dx.doi.org/10.3389/fncom.2020.578158 |