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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Bibliografiske detaljer

Principais autores:	Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2016-08-01
Serier:	Frontiers in Computational Neuroscience
Fag:	deep networks Rapid Invariant Object Recognition Ventral Stream Models Feed-forward Vision 2D and 3D Object Variations
Online adgang:	http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00092/full
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