Nature | Methods
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Unsupervised transfer learning enables multi-animal tracking without training annotation
UDMT is a multi-animal tracker for behavioral research that is based on a transformer architecture, which negates the need for manually annotated training data. UDMT is showcased on datasets encompassing mice, rats, Drosophila, C. elegans and betta fish.