Five points to check when comparing visual perception in humans and machines

With the rise of machines to human-level performance in complex recognition tasks, a growing amount of work is directed toward comparing information processing in humans and machines. These studies are an exciting chance to learn about one system by studying the other. Here, we propose ideas on how...

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Veröffentlicht in:	Journal of vision (Charlottesville, Va.) Jg. 21; H. 3; S. 16
Hauptverfasser:	Funke, Christina M., Borowski, Judy, Stosio, Karolina, Brendel, Wieland, Wallis, Thomas S. A., Bethge, Matthias
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States The Association for Research in Vision and Ophthalmology 01.03.2021
Schlagworte:	Artificial Intelligence Humans Image Processing, Computer-Assisted - methods Learning - physiology Pattern Recognition, Automated - methods Pattern Recognition, Visual - physiology Problem Solving Recognition, Psychology Visual Perception - physiology
ISSN:	1534-7362, 1534-7362
Online-Zugang:	Volltext
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