Large-scale capture of hidden fluorescent labels for training generalizable markerless motion capture models

Abstract Deep learning-based markerless tracking has revolutionized studies of animal behavior. Yet the generalizability of trained models tends to be limited, as new training data typically needs to be generated manually for each setup or visual environment. With each model trained from scratch, re...

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Bibliographic Details
Main Authors: Daniel J. Butler, Alexander P. Keim, Shantanu Ray, Eiman Azim
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-41565-3