arXiv Machine Learning June 25, 2026 By Dan Zimmerman, Dimitris A. Pados, George Sklivanitis

Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery

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arXiv:2606. 25989v1 Announce Type: cross Abstract: Automated classification of marine species from underwater imagery is essential for scalable ocean biodiversity monitoring and conservation policy.

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Planktonzilla: Multimodal dataset and models for understanding plankton ecosystems

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arXiv Machine Learning

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Comparative Assessment of Deep Learning Architectures for Underwater Subsurface Kelp Forest Segmentation with The Kelp-o-Tron

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