Radio Galaxy Zoo: Giant Radio Galaxy Classification using Multi-Domain
Deep Learning
Radio Galaxy Zoo: Giant Radio Galaxy Classification using Multi-Domain
Deep Learning
In this work, we explore the potential of multi-domain multi-branch convolutional neural networks (CNNs) for identifying comparatively rare giant radio galaxies from large volumes of survey data, such as those expected for new-generation radio telescopes like the SKA and its precursors. The approach presented here allows models to learn jointly …