arXiv (OAI Expanded)
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UniqueShip: Mitigating Data Leakage in Acoustic Ship Classification Benchmark Datasets
Underwater Acoustic Target Recognition (UATR) of ships is well-suited for machine learning, yet its progress is hindered by the lack of large, diverse, and publicly available labeled datasets. In this work, we introduce UniqueShip, a machine learning-ready benchmark dataset for UATR applications sou
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