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Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem
Steven McDonagh, Sarah Parisot, Fengwei Zhou +4
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…
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
Nathan J Olliverre, Guang Yang, Gregory Slabaugh +2
Magnetic Resonance Spectroscopy (MRS) provides valuable information to help with the identification and understanding of brain tumors, yet MRS is not a widely available medical ima…
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks
Muhammad Asad, Rilwan Basaru, S M Masudur Rahman Al Arif +1
In recent years, Convolutional Neural Networks (CNNs) have enabled significant advancements to the state-of-the-art in computer vision. For classification tasks, CNNs have widely e…