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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| Published in: | Control engineering practice Vol. 118; p. 104458 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.01.2022
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| Subjects: | |
| ISSN: | 0967-0661, 1873-6939 |
| Online Access: | Get full text |
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