A parametric texture model based on deep convolutional features closely matches texture appearance for humans-Reference-Cited by-同舟云学术

A parametric texture model based on deep convolutional features closely matches texture appearance for humans

Published:2017-10-05 Issue:12 Volume:17 Page:5
ISSN:1534-7362
Container-title:Journal of Vision
language:en
Short-container-title:Journal of Vision

Author:

Wallis Thomas S. A.¹,Funke Christina M.¹,Ecker Alexander S.²,Gatys Leon A.³,Wichmann Felix A.⁴,Bethge Matthias⁵

Affiliation:

1. Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, and the Bernstein Center for Computational Neuroscience, Tübingen, Germany

2. Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, and Bernstein Center for Computational Neuroscience, Tübingen, Germany, and Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA

3. Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen and the Bernstein Center for Computational Neuroscience, Tübingen, Germany

4. Neural Information Processing Group, Faculty of Science, Eberhard Karls Universität Tübingen, Bernstein Center for Computational Neuroscience, and the Max Planck Institute for Intelligent Systems, Empirical Inference Department, Tübingen, Germany

5. Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Bernstein Center for Computational Neuroscience, Institute for Theoretical Physics, Eberhard Karls Universität Tübingen, and the Max Planck Institute for Biological Cybernetics, Tübingen, Germany

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Sensory Systems,Ophthalmology

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