Web: http://arxiv.org/abs/2203.01726

Sept. 23, 2022, 1:15 a.m. | S. Kyathanahally, T. Hardeman, M. Reyes, E. Merz, T. Bulas, P. Brun, F. Pomati, M. Baity-Jesi

cs.CV updates on arXiv.org arxiv.org

Monitoring biodiversity is paramount to manage and protect natural resources,
particularly in times of global change. Collecting images of organisms over
large temporal or spatial scales is a promising practice to monitor and study
biodiversity change 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 introduce a measurement noise that is
difficult to control and can …

arxiv classification ecology paradigm transformers vision

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