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Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools.

Autor: Biderman D; Columbia University, New York, USA., Whiteway MR; Columbia University, New York, USA., Hurwitz C; Columbia University, New York, USA., Greenspan N; Columbia University, New York, USA., Lee RS; Work done while at Lightning.ai, New York, USA., Vishnubhotla A; Columbia University, New York, USA., Warren R; Columbia University, New York, USA., Pedraja F; Columbia University, New York, USA., Noone D; Columbia University, New York, USA., Schartner M; Champalimaud Centre for the Unknown, Lisbon, Portugal., Huntenburg JM; Max Planck Institute for Biological Cybernetics, Tübingen, Germany., Khanal A; University of California Los Angeles, Los Angeles, USA., Meijer GT; Champalimaud Centre for the Unknown, Lisbon, Portugal., Noel JP; New York University, New York, USA., Pan-Vazquez A; Princeton University, Princeton, USA., Socha KZ; University College London, London, United Kingdom., Urai AE; Leiden University, Leiden, The Netherlands., Cunningham JP; Columbia University, New York, USA., Sawtell NB; Columbia University, New York, USA., Paninski L; Columbia University, New York, USA.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Apr 03. Date of Electronic Publication: 2024 Apr 03.