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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). Human...

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Veröffentlicht in:Front Comput Neurosci
Hauptverfasser: Kheradpisheh, Saeed R., Ghodrati, Masoud, Ganjtabesh, Mohammad, Masquelier, Timothée
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2016
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5015476/
https://ncbi.nlm.nih.gov/pubmed/27642281
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2016.00092
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