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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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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Frontiers Media S.A. 2016-08-01
Rangatū:Frontiers in Computational Neuroscience
Ngā marau:
Urunga tuihono:http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00092/full
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