A data-curation pipeline combining AIS ship data with hierarchical k-means clustering improves self-supervised learning for underwater acoustic ship classification.
A survey on self-supervised learning: Algorithms, applications, and future trends,
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Automated data curation for self-supervised learning in underwater acoustic analysis
A data-curation pipeline combining AIS ship data with hierarchical k-means clustering improves self-supervised learning for underwater acoustic ship classification.