Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
A. Wu, E. K. Buchanan, M. R. Whiteway, M. Schartner, G. T. Meijer, J.-P. Noel, E. Rodriguez, C. Everett, A. Norovich, E. S. Schaffer, N. Mishra, C. D. Salzman, D. E. Angelaki, T. International Brain Laboratory, J. P. Cunningham, L. Paninski
This paper introduces a semi-supervised deep graphical model for animal pose tracking that improves accuracy by leveraging spatial and temporal constraints in behavioral videos.
bioRxiv · Aug 20, 2020 · PreprintAnimal Behavior & Cognition