Humans and deep networks largely agree on which kinds of variation make object recognition harder
View-invariant object recognition is a challenging problem that has attracted much attention among the psychology, neuroscience, and computer vision communities. Humans are notoriously good at it, even if some variations are presumably more difficult to handle than others (e.g. 3D rotations). Humans...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2016-08-01
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| Colecção: | Frontiers in Computational Neuroscience |
| Assuntos: | |
| Acesso em linha: | http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00092/full |
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