Qian et al introduces a new Temporal Color Constancy (CC) benchmark. The conventional approach is to use a single frame – shot frame – to estimate the scene illumination color. In temporal CC, multiple frames from the view finder sequence are used to estimate the color. However, there are no realistic large scale temporal color constancy datasets for method evaluation. The benchmark comprises of (1) 600 real-world sequences recorded with a high-resolution mobile phone camera, (2) a fixed train-test split which ensures consistent evaluation, and (3) a baseline method which achieves high accuracy in the new benchmark and the dataset used in previous works.

Find the paper here with the public code here. The dataset can be obtained from here.