Self-supervised Learning: A Succinct Review

Machine learning has made significant advances in the field of image processing. The foundation of this success is supervised learning, which necessitates annotated labels generated by humans and hence learns from labelled data, whereas unsupervised learning learns from unlabeled data. Self-supervis...

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Veröffentlicht in:	Archives of computational methods in engineering Jg. 30; H. 4; S. 2761 - 2775
Hauptverfasser:	Rani, Veenu, Nabi, Syed Tufael, Kumar, Munish, Mittal, Ajay, Kumar, Krishan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.05.2023 Springer Nature B.V
Schlagworte:	Algorithms Artificial intelligence Computer vision Datasets Engineering Image processing Image segmentation Labeling Literature reviews Machine learning Mathematical and Computational Engineering Natural language processing Object recognition Review Review Article Self-supervised learning Software Supervision Unstructured data Unsupervised learning Self-supervised Un-supervised learning Supervised learning Contrastive learning Machine learning
ISSN:	1134-3060, 1886-1784, 1886-1784
Online-Zugang:	Volltext
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