Review on deep learning techniques for marine object recognition: Architectures and algorithms

Due to the rapid development of deep learning techniques, numerous frameworks including convolutional neural networks (CNNs), deep belief networks (DBNs) and auto-encoder (AE), etc., have been established. In this context, advances in marine object recognition have been dramatically boosted, especia...

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Veröffentlicht in:	Control engineering practice Jg. 118; S. 104458
Hauptverfasser:	Wang, Ning, Wang, Yuanyuan, Er, Meng Joo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2022
Schlagworte:	Deep learning Learning architecture Marine object recognition Marine vehicles Deep learning Marine object recognition Marine vehicles Learning architecture
ISSN:	0967-0661, 1873-6939
Online-Zugang:	Volltext
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