Guiding the underwater acoustic target recognition with interpretable contrastive learning-Reference-Cited by-同舟云学术

Guiding the underwater acoustic target recognition with interpretable contrastive learning

Published:2023-06-05 Issue: Volume: Page:
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Container-title:OCEANS 2023 - Limerick
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Author:

Xie Yuan¹,Ren Jiawei¹,Xu Ji¹

Affiliation:

1. Chinese Academy of Sciences University of Chinese Academy of Sciences,Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244175/10244247/10244447.pdf?arnumber=10244447

Reference24 articles.

1. Feature Extraction of Underwater Target Signal Using Mel Frequency Cepstrum Coefficients Based on Acoustic Vector Sensor

2. Decoupled weight decay regularization;loshchilov,2017

3. Robust underwater noise targets classification using auditory inspired time–frequency analysis

4. UALF: A learnable front-end for intelligent underwater acoustic classification system

5. Deep learning

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