Comparing machines and humans on a visual categorization test

Automated scene interpretation has benefited from advances in machine learning, and restricted tasks, such as face detection, have been solved with sufficient accuracy for restricted settings. However, the performance of machines in providing rich semantic descriptions of natural scenes from digital...

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Bibliographic Details

Published in:	Proceedings of the National Academy of Sciences - PNAS Vol. 108; no. 43; p. 17621
Main Authors:	Fleuret, François, Li, Ting, Dubout, Charles, Wampler, Emma K, Yantis, Steven, Geman, Donald
Format:	Journal Article
Language:	English
Published:	United States 25.10.2011
Subjects:	Algorithms Artificial Intelligence Humans Pattern Recognition, Automated - methods Pattern Recognition, Visual - physiology Problem Solving
ISSN:	1091-6490, 1091-6490
Online Access:	Get more information
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