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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
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

Internet

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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