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Found 3 papers, 2 papers with code
Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology
On all the datasets, we achieve a new SOTA, with a reduction of the error with respect to the previous SOTA ranging from 29. 35% to 100. 00%, and often achieving performances very close to perfect classification.
Deep Learning Classification of Lake Zooplankton
Our annotated data, code and classification models are freely available online.
Underwater dual-magnification imaging for automated lake plankton monitoring
We present an approach for automated in-situ monitoring of phytoplankton and zooplankton communities based on a dual magnification dark-field imaging microscope/camera.
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