Using transfer learning to detect galaxy mergers

Using transfer learning to detect galaxy mergers

25 May 2018

Sandro Ackermann

Kevin Schawinski

Papers citing "Using transfer learning to detect galaxy mergers"

10 / 10 papers shown

Title
How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification Vincent Tonkes M. Sabatelli ViT 33 6 0 09 Aug 2022
Morphological classification of compact and extended radio galaxies using convolutional neural networks and data augmentation techniques V. Maslej-Krešňáková K. E. Bouchefry P. Butka 17 13 0 01 Jul 2021
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains A. Ćiprijanović Diana Kafkes K. Downey S. Jenkins G. Perdue Sandeep Madireddy T. Johnston Gregory F. Snyder Brian D. Nord 21 25 0 02 Mar 2021
A Data Quality-Driven View of MLOps Cédric Renggli Luka Rimanic Nezihe Merve Gürel Bojan Karlavs Wentao Wu Ce Zhang AI4TS 22 65 0 15 Feb 2021
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning Dimitrios Tanoglidis A. Ćiprijanović A. Drlica-Wagner 18 15 0 24 Nov 2020
Self-supervised Learning for Astronomical Image Classification A. Martinazzo M. Espadoto N. Hirata SSL 7 12 0 23 Apr 2020
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms Arjun Gupta Eliu A. Huerta Zhizhen Zhao I. Moussa 21 27 0 16 Dec 2019
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning Mike Walmsley Lewis Smith Chris J. Lintott Y. Gal S. Bamford ... K. Masters C. Scarlata B. Simmons R. Smethurst D. Wright 35 86 0 17 May 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 13 98 0 30 Jan 2019
Deep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey Asad Khan Eliu A. Huerta Si-Yang Wang R. Gruendl Elise Jennings Huihuo Zheng 20 30 0 05 Dec 2018