SDE-AWB: a generic solution for 2nd International Illumination Estimation Challenge

Yanlin Qian; Sibo Feng; Kang Qian; Miaofeng Wang

doi:10.1117/12.2588328

4 January 2021 SDE-AWB: a generic solution for 2nd International Illumination Estimation Challenge

Yanlin Qian, Sibo Feng, Kang Qian, Miaofeng Wang

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 116050M (2021) https://doi.org/10.1117/12.2588328
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

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.

Citation Download Citation

Yanlin Qian, Sibo Feng, Kang Qian, and 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

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