DeepLabCut (www.deeplabcut.org) was initially developed by
Alexander & Mackenzie Mathis in collaboration with Matthias Bethge.

DeepLabCut is an open-source tool and has benefited from suggestions and edits by many
individuals including Tanmay Nath, Richard Warren, Ronny Eichler, Jonas Rauber, Hao Wu,
Federico Claudi, Gary Kane, Taiga Abe, and Jonny Saunders as well as the latest author
contributors page for the many additions to this open source project:
https://github.com/AlexEMG/DeepLabCut/graphs/contributors

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DeepLabCut 1.0 Toolbox
A Mathis, alexander.mathis@bethgelab.org | https://github.com/AlexEMG/DeepLabCut
M Mathis, mackenzie@post.harvard.edu | https://github.com/MMathisLab

Specific external contributors:
E Insafutdinov and co-authors of DeeperCut (see README) for feature detectors: https://github.com/eldar
- Thus, code in this subdirectory https://github.com/AlexEMG/DeepLabCut/tree/master/deeplabcut/pose_estimation_tensorflow
was adapted from: https://github.com/eldar/pose-tensorflow

Products:
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience, 2018.
https://doi.org/10.1038/s41593-018-0209-y
A. Mathis, P. Mamidanna, K.M. Cury, T. Abe, V.N. Murthy, M.W. Mathis* & M. Bethge*

Contributions:
Conceptualization: A.M., M.W.M. and M.B.
Software: A.M. and M.W.M.
Formal analysis: A.M.
Experiments: A.M. and V.N.M. (trail-tracking), M.W.M. (mouse reaching), K.M.C. (Drosophila).
Image Labeling: P.M., K.M.C., T.A., M.W.M., A.M.
Writing: A.M. and M.W.M. with input from all authors.
These authors jointly directed this work: M. Mathis, M. Bethge

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DeepLabCut 2.0 Toolbox
A Mathis, alexander.mathis@bethgelab.org | https://github.com/AlexEMG/DeepLabCut
T Nath, nath@rowland.harvard.edu | https://github.com/meet10may
M Mathis, mackenzie@post.harvard.edu | https://github.com/MMathisLab

Products:
Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nature Protocols, 2019.
https://www.nature.com/articles/s41596-019-0176-0
T. Nath*, A. Mathis*, AC. Chen, A. Patel, M. Bethge, M. Mathis

Contributions:
Conceptualization: AM, TN, MWM.
Software: AM, TN and MWM.
Dataset (cheetah): AP.
Image Labeling: ACC.
Formal analysis: ACC, AM and AP analyzed the cheetah data.
Writing: MWM, AM and TN with inputs from all authors.

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DeepLabCut 2.1 additions
A Mathis, alexander.mathis@bethgelab.org | https://github.com/AlexEMG/DeepLabCut
T Nath, nath@rowland.harvard.edu | https://github.com/meet10may
M Mathis, mackenzie@post.harvard.edu | https://github.com/MMathisLab

Preprint:
Pretraining boosts out-of-domain robustness for pose estimation
A. Mathis, M. Yüksekgönül, B. Rogers, M. Bethge, M. Mathis
