FABLE: Fast rAdio Burst Localization &amp; dEtection using Mask-RCNN

Fast Radio Burst detection, localization and classification in radio images using Mask R-CNN. The code takes as input DM-time images of single pulses or FRBs. The code automatically creates an annotation file in JSON format. More details about the installation can be found on GitHub at: https://github.com/Zafiirah13/FABLE

Related Organizations

University of Manchester
United Kingdom

Keywords

Deep Learning, Convolutional Neural Network, Classification, Fast Radio Burst, Radio Frequency Interference, Mask RCNN, Automatic Masking of FRB

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility

views

3

3
views
Powered by

Found an issue? Give us feedback

visibility

0

Average

3