SDE-AWB: a Generic Solution for 2nd International Illumination Estimation Challenge

Autor:	Qian, Yanlin, Feng, Sibo, Qian, Kang, Wang, Miaofeng
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: 6 pages; challenge paper for 2nd International Illumination Estimation Challenge, held in International Conference on Machine Vision 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2010.05149 Zobrazit plný text záznamu View this record from Arxiv