A deep new look at color.

Autor: de Vries JP; 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/., Flachot A; Department of Psychology, York University, Toronto, ON, Canada flachot.alban@gmail.com., Morimoto T; 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., Gegenfurtner KR; 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/.
Jazyk: angličtina
Zdroj: The Behavioral and brain sciences [Behav Brain Sci] 2023 Dec 06; Vol. 46, pp. e389. Date of Electronic Publication: 2023 Dec 06.
DOI: 10.1017/S0140525X23001620
Abstrakt: 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.
Databáze: MEDLINE