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Towards Real-Time Head Pose Estimation : Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets
Rieger, Ines; Hauenstein, Thomas; Hettenkofer, Sebastian; u. a. (2019): „Towards Real-Time Head Pose Estimation : Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets“. Cham: Springer doi: 10.1007/978-3-030-22999-3_12.
Faculty/Professorship:
Title of the compilation:
Advances and Trends in Artificial Intelligence : From Theory to Practice ; 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9–11, 2019, Proceedings
Corporate Body:
32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA\/AIE 2019, Graz, Austria, July 9–11, 2019
Publisher Information:
Year of publication:
2019
Pages:
ISBN:
978-3-030-22998-6
Language:
English
Type:
Conferenceobject
published:
January 8, 2021
Permalink
https://fis.uni-bamberg.de/handle/uniba/49274