Author

D. Gillespie

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Open access Aug 2026

The More the Merrier: The Effects of Data Volume and Transfer Learning on Creating Generalizable Deep Learning PAM Detectors

While trained models saw a drop in performance when tested on a new dataset, those pretrained on large diverse datasets outperformed limited target‐specific training even when deployment conditions were not represented during training, confirming training diversity improves transferability.

Laia Garrobé Fonollosa, D. Gillespie, L. Stanković et al. · Marine mammal science · 0 citations