Qian et al. proposes a neural network-based solution for three different tracks of 2nd International Illumination Estimation Challenge. They build 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

The paper can be accessed here.