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A contrastive learning approach for individual re-identification in a wild fish population
In both terrestrial and marine ecology, physical tagging is a frequently used method to study population dynamics and behavior.
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
We provide insight into popular deep learning approaches for ecological data analysis in plain language, focusing on the techniques of supervised learning with deep neural networks, and illustrate challenges and opportunities through established and emerging applications of deep learning to marine ecology.
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