Improving In Situ Real-Time Classification of Long-Tail Marine Plankton Images for Ecosystem Studies
Published in ECCV, CV4E Workshop, 2024
This research focuses on in situ classification of long-tail marine plankton species, addressing the need for accurate, real-time biodiversity monitoring. Our approach uses a deep learning framework tailored for ecosystem studies, improving identification of rare species critical to marine health.
Recommended citation: N. Eftekhari, S. Pitois, M. Masoudi, R. E. Blackwell, J. Scott, S. L. C. Giering, "Improving in situ real-time classification of long-tail marine plankton images for ecosystem studies," ECCV, CV4E Workshop, 2024.
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