level: nature neuroscience
author:Alexander Mathis 1,2, Pranav Mamidanna1 , Kevin M. Cury3 , Taiga Abe3 , Venkatesh N. Murthy 2 , Mackenzie Weygandt Mathis 1,4,8* and Matthias Bethge1,5,6,7,8
date: 2018
keyword:
- quantifying behavior; pose estimation;
Mathis A, Mamidanna P, Cury K M, et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning[J]. Nature neuroscience, 2018, 21(9): 1281-1289. cited by 401;
Paper: DeepLabCut
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Summary
- present an efficient method for markerless pose estimation based on transfer learning with deep neural networks;
- by labeling only a few hundred frame