Self-supervised anomaly detection for Ocean Networks Canada underwater acoustic data using SSAMBA and Mamba-based audio representation learning.
deep-learning pytorch underwater-acoustics mamba anomaly-detection self-supervised-learning hydrophone audio-representation-learning marine-science ocean-acoustics ssamba ocean-networks-canada
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Updated
Jun 12, 2026 - Jupyter Notebook