Cross-Domain Contrastive Learning-Based Few-Shot Underwater Acoustic Target Recognition

Cross-Domain Contrastive Learning-Based Few-Shot Underwater Acoustic Target Recognition

Underwater Acoustic Target Recognition (UATR) plays a crucial role in underwater detection devices. However, due to the difficulty and high cost of collecting data in the underwater environment, UATR still faces the problem of small datasets. Few-shot learning (FSL) addresses this challenge through...

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Bibliographic Details
Main Authors: Xiaodong Cui, Zhuofan He, Yangtao Xue, Keke Tang, Peican Zhu, Jing Han
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Journal of Marine Science and Engineering
Subjects:
underwater acoustic target recognition
few-shot learning
self-supervised learning
Online Access:https://www.mdpi.com/2077-1312/12/2/264

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https://www.mdpi.com/2077-1312/12/2/264

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