HPT uses histograms of feature embeddings to modulate pre-trained models for sonar classification, achieving higher accuracy than standard adapters on passive sonar datasets like VTUAD.
Deepship: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification,
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Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification
HPT uses histograms of feature embeddings to modulate pre-trained models for sonar classification, achieving higher accuracy than standard adapters on passive sonar datasets like VTUAD.