A Contrastive-Learning-Based Method for the Few-Shot Identification of Ship-Radiated Noises

For identifying each vessel from ship-radiated noises with only a very limited number of data samples available, an approach based on the contrastive learning was proposed. The input was sample pairs in the training, and the parameters of the models were optimized by maximizing the similarity of sam...

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Bibliographic Details
Main Authors: Leixin Nie, Chao Li, Haibin Wang, Jun Wang, Yonglin Zhang, Fan Yin, Franck Marzani, Alexis Bozorg Grayeli
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/11/4/782