Divergences in color perception between deep neural networks and humans.

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Bibliographic Details
Title: Divergences in color perception between deep neural networks and humans.
Authors: Nadler EO; Carnegie Observatories, USA; Department of Physics, University of Southern California, USA. Electronic address: enadler@carnegiescience.edu., Darragh-Ford E; Kavli Institute for Particle Astrophysics and Cosmology and Department of Physics, Stanford University, USA., Desikan BS; School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Switzerland; Knowledge Lab, University of Chicago, USA., Conaway C; University of California, San Diego, USA., Chu M; School of the Arts, Columbia University, USA., Hull T; Psiphon Inc., Toronto, Canada., Guilbeault D; Haas School of Business, University of California, Berkeley, USA. Electronic address: douglas.guilbeault@haas.berkeley.edu.
Source: Cognition [Cognition] 2023 Dec; Vol. 241, pp. 105621. Date of Electronic Publication: 2023 Sep 14.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0367541 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7838 (Electronic) Linking ISSN: 00100277 NLM ISO Abbreviation: Cognition Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-7838
DOI:10.1016/j.cognition.2023.105621