Modern Plankton
Modern plankton research leverages deep learning to analyze vast image datasets for automated species identification and ecological modeling, addressing the limitations of traditional manual methods. Current efforts focus on improving the robustness of deep learning classifiers, particularly addressing issues of dataset shift and developing efficient unsupervised learning techniques to reduce reliance on expensive manual annotation. These advancements promise faster, more objective, and reproducible analyses of plankton communities, leading to improved understanding of aquatic ecosystems and their responses to environmental change.
Papers
January 25, 2024
September 15, 2023