A Comprehensive Survey of Image Augmentation Techniques for Deep Learning

•We examine challenges and vicinity distribution to demonstrate the necessity of image augmentation for deep learning.•We present a comprehensive survey on image augmentation with a novel informative taxonomy that encompasses a wider range of algorithms.•We discuss the current situation and future d...

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Veröffentlicht in:	Pattern recognition Jg. 137; S. 109347
Hauptverfasser:	Xu, Mingle, Yoon, Sook, Fuentes, Alvaro, Park, Dong Sun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2023
Schlagworte:	Computer vision Data augmentation Deep learning Image augmentation Image variation Vicinity distribution Deep learning Computer vision Data augmentation Image augmentation Image variation Vicinity distribution
ISSN:	0031-3203, 1873-5142
Online-Zugang:	Volltext
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