Sea-Scan uses machine learning to detect and localize dark vessels from unlabeled data. It achieves a 97.8% detection rate with only a 1.98% false-trigger rate, using weak supervision from imperfect AIS labels.
Sea-Scan: ML-based Dark Vessel Detection with Weak Supervision
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