Radio Galaxy Zoo: giant radio galaxy classification using multidomain deep learning
Radio Galaxy Zoo: giant radio galaxy classification using multidomain 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 …