3D convolutional networks for action recognition: Application to sport gesture 
recognition

Martin, Pierre-Etienne; Benois-Pineau, Jenny; Péteri, Renaud; Zemmari, Akka; Morlier, Julien

doi:10.1007/978-3-030-74478-6_9

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3D convolutional networks for action recognition: Application to sport gesture recognition

Martin, P.-E., Benois-Pineau, J., Péteri, R., Zemmari, A., & Morlier, J. (2021). 3D convolutional networks for action recognition: Application to sport gesture recognition. In J. Benois-Pineau, & A. Zemmari (Eds.), Multi-faceted Deep Learning: Models and data (pp. 199-229). Cham: Springer.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-6CB2-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-941F-C

Genre: Book Chapter

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Creators:
Martin, Pierre-Etienne¹, Author
Benois-Pineau, Jenny, Author
Péteri, Renaud, Author
Zemmari, Akka, Author
Morlier, Julien, Author

Affiliations:
1Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_3040267

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Free keywords: Machine learning, artifical intelligence, Neural networks (Computer science)

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Language(s): eng - English

Dates: Date issued: 2021

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1007/978-3-030-74478-6_9

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Title: Multi-faceted Deep Learning : Models and data

Source Genre: Book

Creator(s):
Benois-Pineau, Jenny, Editor
Zemmari, Akka, Editor

Affiliations:
-

Publ. Info: Cham : Springer

Pages: 316 Volume / Issue: - Sequence Number: - Start / End Page: 199 - 229 Identifier: ISBN: 978-3-030-74477-9
DOI: 10.1007/978-3-030-74478-6