A self-supervised dual-channel self-attention acoustic encoder for underwater acoustic target recognition

Due to the considerable noise and high annotation cost of passive sonar acquisition data challenges, underwater acoustic target recognition (UATR) tasks require novel solutions. In this paper, we propose a self-supervised dual-channel self-attention acoustic encoder (DSAE) for UATR tasks. First, to...

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Main Authors: WANG, Xingmei, WU, Peiran, LI, Boquan, ZHAN, Ge, LIU, Jinghan, LIU, Zijian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/8738
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Institution: Singapore Management University
Language: English