Deep convolutional networks do not classify based on global object shape-Reference-Cited by-同舟云学术

Deep convolutional networks do not classify based on global object shape

Published:2018-12-07 Issue:12 Volume:14 Page:e1006613
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Baker Nicholas^ORCID,Lu Hongjing,Erlikhman Gennady^ORCID,Kellman Philip J.

Funder

National Science Foundation

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference45 articles.

1. Turing test as a defining feature of AI-completeness;R Yampolskiy;Artificial Intelligence, Evolutionary Computing and Metaheuristics,2013

2. Computing machinery and intelligence;AM Turing;Mind,1950

3. Visual turing test for computer vision systems;D Geman;Proceedings of the National Academy of Sciences,2015

4. Imagenet classification with deep convolutional neural networks;A Krizhevsky;In: Advances in Neural Information Processing Systems,2012

5. Scalable multiclass object categorization with Fisher based features;N Gunji,2012

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