Sept. 30, 2022, 1:12 a.m. | S. Kyathanahally, T. Hardeman, M. Reyes, E. Merz, T. Bulas, P. Brun, F. Pomati, M. Baity-Jesi

cs.LG updates on arXiv.org arxiv.org

Monitoring biodiversity is paramount to manage and protect natural resources.
Collecting images of organisms over large temporal or spatial scales is a
promising practice to monitor the biodiversity of natural ecosystems, providing
large amounts of data with minimal interference with the environment. Deep
learning models are currently used to automate classification of organisms into
taxonomic units. However, imprecision in these classifiers introduces a
measurement noise that is difficult to control and can significantly hinder the
analysis and interpretation of data. …

arxiv classification ecology paradigm transformers vision

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