Deeper, Sharper, Faster: Application of Efficient Transformer to Galaxy Image Restoration

The Transformer architecture has revolutionized the field of deep learning over the past several years in diverse areas, including natural language processing, code generation, image recognition, and time-series forecasting. We propose to apply Zamir et al.'s efficient transformer to perform de...

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Bibliographic Details

Published in:	The Astrophysical Journal
Main Authors:	Hyosun Park, Yongsik Jo, Seokun Kang, Taehwan Kim, M. James Jee
Format:	Article
Language:	English
Published:	IOP Publishing 2024-01-01
Subjects:	Galaxy physics Galaxy photometry Galaxy structure Astronomy image processing Neural networks
Online Access:	https://doi.org/10.3847/1538-4357/ad5954