Leveraging Prior Knowledge in Semi-Supervised Learning for Precise Target Recognition

Underwater acoustic target recognition (UATR) is challenged by complex marine noise, scarce labeled data, and inadequate multi-scale feature extraction in conventional methods. This study proposes DART-MT, a semi-supervised framework that integrates a Dual Attention Parallel Residual Network Transfo...

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Bibliografski detalji

Glavni autori:	Guohao Xie, Zhe Chen, Yaan Li, Mingsong Chen, Feng Chen, Yuxin Zhang, Hongyan Jiang, Hongbing Qiu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-07-01
Serija:	Remote Sensing
Teme:	underwater acoustic target recognition prior knowledge mean teacher semi-supervised learning
Online pristup:	https://www.mdpi.com/2072-4292/17/14/2338
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