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Conference Paper

Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation

MPS-Authors
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Wang,  Jiayi
Computer Graphics, MPI for Informatics, Max Planck Society;

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Mueller,  Franziska
Computer Graphics, MPI for Informatics, Max Planck Society;

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Bernard,  Florian
Computer Graphics, MPI for Informatics, Max Planck Society;

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Theobalt,  Christian       
Computer Graphics, MPI for Informatics, Max Planck Society;

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2007.03073.pdf
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Citation

Wang, J., Mueller, F., Bernard, F., & Theobalt, C. (2020). Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation. In V. Štruc, & F. Gómez-Fernández (Eds.), 15th IEEE International Conference on Automatic Face and Gesture Recognition (pp. 101-108). Piscataway, NJ: IEEE. doi:10.1109/FG47880.2020.00013.


Cite as: https://hdl.handle.net/21.11116/0000-0008-1687-7
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