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Leveraging Prior Concept Learning Improves Generalization From Few Examples in Computational Models of Human Object Recognition
Humans quickly and accurately learn new visual concepts from sparse data, sometimes just a single example. The impressive performance of artificial neural networks which hierarchically pool afferents across scales and positions suggests that the hierarchical organization of the human visual system i...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835122/ https://www.ncbi.nlm.nih.gov/pubmed/33510629 http://dx.doi.org/10.3389/fncom.2020.586671 |