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Friday, 19 June 2026 1 paper Tian Tian, Agastya Raj, Lara Flanagan +2 cs.SD cs.LG eess.SP 11:14 UTC
We present an ML-based vessel detection and localization system, trained with weak supervision from imperfect AIS labels, that achieves a 97.8% detection rate at 1.98% false-trigger rate, successfully identifies dark-vessel events from unlabeled data.
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