Color Cerberus

A.~Savchik; E.~Ershov; S.~Karpenko

Color Cerberus

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arxiv 1907.06483 v1 pith:UNI7EZJU submitted 2019-07-15 cs.CV cs.LGeess.IV

A.~Savchik , E.~Ershov , S.~Karpenko This is my paper · ORCID

classification cs.CVcs.LGeess.IV

keywords colorneuralablearchitecturebetterbiancocerberuscompetition

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Simple convolutional neural network was able to win ISISPA color constancy competition. Partial reimplementation of (Bianco, 2017) neural architecture would have shown even better results in this setup.

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Cited by 1 Pith paper

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Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge
cs.CV 2019-08 conditional novelty 3.0 of 10

Applying the existing FFCC and Grayness Index methods to the Cube+ challenge dataset yields ranks 3 and 6, with the FFCC entry degraded by missing EXIF metadata.

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