1 code implementation • 26 Oct 2022 • Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal
We define deriving semantic class targets as a novel multi-modal task.
1 code implementation • 19 Apr 2022 • Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang
In this work we examine the classification accuracy and robustness of a state-of-the-art semi-supervised learning (SSL) algorithm applied to the morphological classification of radio galaxies.
1 code implementation • 1 Feb 2021 • David J. Bastien, Anna M. M. Scaife, Hongming Tang, Micah Bowles, Fiona Porter
We present a model for generating postage stamp images of synthetic Fanaroff-Riley Class I and Class II radio galaxies suitable for use in simulations of future radio surveys such as those being developed for the Square Kilometre Array.
Data Augmentation Variational Inference Instrumentation and Methods for Astrophysics Astrophysics of Galaxies
2 code implementations • 2 Dec 2020 • Micah Bowles, Anna M. M. Scaife, Fiona Porter, Hongming Tang, David J. Bastien
In this work we introduce attention as a state of the art mechanism for classification of radio galaxies using convolutional neural networks.
3 code implementations • 28 Mar 2019 • Hongming Tang, Anna M. M. Scaife, J. P. Leahy
In the context of radio galaxy classification, most state-of-the-art neural network algorithms have been focused on single survey data.
Instrumentation and Methods for Astrophysics