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A deep new look at color

Published online by Cambridge University Press:  06 December 2023

Jelmer Philip de Vries Open the ORCID record for Jelmer Philip de Vries [Opens in a new window] ,
Alban Flachot Open the ORCID record for Alban Flachot [Opens in a new window] ,
Takuma Morimoto Open the ORCID record for Takuma Morimoto [Opens in a new window]  and
Karl R. Gegenfurtner Open the ORCID record for Karl R. Gegenfurtner [Opens in a new window]
Jelmer Philip de Vries
Affiliation:
Department of Psychology, Justus Liebig Universitat, Giessen, Germany vriesdejelmer@gmail.com; gegenfurtner@uni-giessen.de www.jelmerdevries.com; https://www.allpsych.uni-giessen.de/karl/;
Alban Flachot
Affiliation:
Department of Psychology, York University, Toronto, ON, Canada flachot.alban@gmail.com;
Takuma Morimoto
Affiliation:
Department of Psychology, Justus Liebig Universitat, Giessen, Germany vriesdejelmer@gmail.com; gegenfurtner@uni-giessen.de www.jelmerdevries.com; https://www.allpsych.uni-giessen.de/karl/; Department of Experimental Psychology, University of Oxford, Oxford, UK takuma.morimoto@psy.ox.ac.uk; https://sites.google.com/view/tmorimoto
Karl R. Gegenfurtner
Affiliation:
Department of Psychology, Justus Liebig Universitat, Giessen, Germany vriesdejelmer@gmail.com; gegenfurtner@uni-giessen.de www.jelmerdevries.com; https://www.allpsych.uni-giessen.de/karl/;
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Abstract

Bowers et al. counter deep neural networks (DNNs) as good models of human visual perception. From our color perspective we feel their view is based on three misconceptions: A misrepresentation of the state-of-the-art of color perception; the type of model required to move the field forward; and the attribution of shortcomings to DNN research that are already being resolved.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e389
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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