Attention-gating for improved radio galaxy classification
Bowles, Micah and Scaife, Anna M. M. and Porter, Fiona and Tang, Hongming and Bastien, David J. (2020) Attention-gating for improved radio galaxy classification. Monthly Notices of the Royal Astronomical Society, 501 (3). pp. 4579-4595. ISSN 0035-8711 (https://doi.org/10.1093/mnras/staa3946)
Preview |
Text.
Filename: 2012.01248v2.pdf
Preprint License: Download (4MB)| Preview |
Abstract
In this work we introduce attention as a state of the art mechanism for classification of radio galaxies using convolutional neural networks. We present an attention-based model that performs on par with previous classifiers while using more than 50% fewer parameters than the next smallest classic CNN application in this field. We demonstrate quantitatively how the selection of normalisation and aggregation methods used in attention-gating can affect the output of individual models, and show that the resulting attention maps can be used to interpret the classification choices made by the model. We observe that the salient regions identified by the our model align well with the regions an expert human classifier would attend to make equivalent classifications. We show that while the selection of normalisation and aggregation may only minimally affect the performance of individual models, it can significantly affect the interpretability of the respective attention maps and by selecting a model which aligns well with how astronomers classify radio sources by eye, a user can employ the model in a more effective manner.
ORCID iDs
Bowles, Micah, Scaife, Anna M. M., Porter, Fiona ORCID: https://orcid.org/0000-0002-5695-0633, Tang, Hongming and Bastien, David J.;-
-
Item type: Article ID code: 90095 Dates: DateEvent24 December 2020PublishedSubjects: Science > Astronomy Department: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 01 Aug 2024 10:04 Last modified: 25 Sep 2024 14:45 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/90095