most citedAdversarial multi-task underwater acoustic target recognition: towards robustness against various influential factors

17 citations · 32 across the 2 of their papers we have counts for

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cs.SD202417 cited

Adversarial multi-task underwater acoustic target recognition: towards robustness against various influential factors

Yuan Xie, Ji Xu, Jiawei Ren +1

Underwater acoustic target recognition based on passive sonar faces numerous challenges in practical maritime applications. One of the main challenges lies in the susceptibility of…

cs.SD202415 cited

Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts

Yuan Xie, Jiawei Ren, Junfeng Li +1

Underwater acoustic target recognition has emerged as a prominent research area within the field of underwater acoustics. However, the current availability of authentic underwater…

cs.SD2024

DEMONet: Underwater Acoustic Target Recognition based on Multi-Expert Network and Cross-Temporal Variational Autoencoder

Yuan Xie, Xiaowei Zhang, Jiawei Ren +1

Building a robust underwater acoustic recognition system in real-world scenarios is challenging due to the complex underwater environment and the dynamic motion states of targets.…

cs.SD202412 cited

Guiding the underwater acoustic target recognition with interpretable contrastive learning

Yuan Xie, Jiawei Ren, Ji Xu

Recognizing underwater targets from acoustic signals is a challenging task owing to the intricate ocean environments and variable underwater channels. While deep learning-based sys…

cs.SD202451 cited

Unraveling Complex Data Diversity in Underwater Acoustic Target Recognition through Convolution-based Mixture of Experts

Yuan Xie, Jiawei Ren, Ji Xu

Underwater acoustic target recognition is a difficult task owing to the intricate nature of underwater acoustic signals. The complex underwater environments, unpredictable transmis…