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Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools
Pose estimation algorithms are shedding new light on animal behavior and intelligence. Most existing models are only trained with labeled frames (supervised learning). Although effective in many cases, the fully supervised approach requires extensive image labeling, struggles to generalize to new vi...
Autores principales: | Biderman, Dan, Whiteway, Matthew R, Hurwitz, Cole, Greenspan, Nicholas, Lee, Robert S, Vishnubhotla, Ankit, Warren, Richard, Pedraja, Federico, Noone, Dillon, Schartner, Michael, Huntenburg, Julia M, Khanal, Anup, Meijer, Guido T, Noel, Jean-Paul, Pan-Vazquez, Alejandro, Socha, Karolina Z, Urai, Anne E, Cunningham, John P, Sawtell, Nathaniel, Paninski, Liam |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168383/ https://www.ncbi.nlm.nih.gov/pubmed/37162966 http://dx.doi.org/10.1101/2023.04.28.538703 |
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