Deep neural models for color classification and color constancy

Color constancy is our ability to perceive constant colors across varying illuminations. Here, we trained deep neural networks to be color constant and evaluated their performance with varying cues. Inputs to the networks consisted of two-dimensional images of simulated cone excitations derived from...

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Detalles Bibliográficos
Autores principales: Flachot, Alban, Akbarinia, Arash, Schütt, Heiko H., Fleming, Roland W., Wichmann, Felix A., Gegenfurtner, Karl R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976922/
https://www.ncbi.nlm.nih.gov/pubmed/35353153
http://dx.doi.org/10.1167/jov.22.4.17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976922/
https://www.ncbi.nlm.nih.gov/pubmed/35353153
http://dx.doi.org/10.1167/jov.22.4.17

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