@inproceedings{03a834f5a92e43b19dc43ee1e06d0d1d,
title = "SDE-AWB: A generic solution for 2nd International Illumination Estimation Challenge",
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.",
keywords = "Awb, Illumination estimation challenge, Indoor, Two illuminant",
author = "Yanlin Qian and Sibo Feng and Kang Qian and Miaofeng Wang",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; 13th International Conference on Machine Vision, ICMV 2020 ; Conference date: 02-11-2020 Through 06-11-2020",
year = "2020",
doi = "10.1117/12.2588328",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wolfgang Osten and Nikolaev, \{Dmitry P.\} and Jianhong Zhou",
booktitle = "13th International Conference on Machine Vision, ICMV 2020",
address = "United States",
}