Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem

28 Nov 2018Steven McDonaghSarah ParisotFengwei ZhouXing ZhangAles LeonardisZhenguo LiGregory Slabaugh

Digital camera pipelines employ color constancy methods to estimate an unknown scene illuminant, in order to re-illuminate images as if they were acquired under an achromatic light source. Fully-supervised learning approaches exhibit state-of-the-art estimation accuracy with camera-specific labelled training imagery... (read more)

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