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We propose a neural network-based solution for three different tracks of 2nd International Illumination Estimation Challenge (chromaticity.iitp.ru). Our method is built on pre-trained Squeeze-Net backbone, differential 2D chroma histogram layer and a shallow MLP utilizing Exif information. By combining semantic feature, color feature and Exif metadata, the resulting method – SDE-AWB – obtains 1st place in both indoor and two-illuminant tracks and 2nd place in general track.
Yanlin Qian,Sibo Feng,Kang Qian, andMiaofeng Wang
"SDE-AWB: a generic solution for 2nd International Illumination Estimation Challenge", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116050M (4 January 2021); https://doi.org/10.1117/12.2588328
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Yanlin Qian, Sibo Feng, Kang Qian, Miaofeng Wang, "SDE-AWB: a generic solution for 2nd International Illumination Estimation Challenge," Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116050M (4 January 2021); https://doi.org/10.1117/12.2588328