Open AccessProperties of invariant object recognition in human one-shot learning suggests a hierarchical architecture different from deep convolutional neural networks
Author(s) -
Yena Han,
Gemma Roig,
Gad Geiger,
Tomaso Poggio
Publication year - 2019
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/19.10.28d
Subject(s) - invariant (physics) , cognitive neuroscience of visual object recognition , artificial intelligence , pattern recognition (psychology) , scale invariance , computer science , computation , convolutional neural network , object (grammar) , algorithm , mathematics , mathematical physics , statistics
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