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.
Color Cerberus
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abstract
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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Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge
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.