Unsupervised contrastive learning on unlabeled hydrophone audio produces embeddings that transfer to ship and marine mammal classification tasks with accuracy comparable to supervised contrastive baselines.
, author Ortego, D
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The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning
Unsupervised contrastive learning on unlabeled hydrophone audio produces embeddings that transfer to ship and marine mammal classification tasks with accuracy comparable to supervised contrastive baselines.