A Study of Athlete Pose Estimation Techniques in Sports Game Videos Combining Multiresidual Module Convolutional Neural Networks.

Liu R

DOI: 10.1155/2021/4367875
Published: 2021
Container: Computational intelligence and neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2021/4367875,
  title = {A Study of Athlete Pose Estimation Techniques in Sports Game Videos Combining Multiresidual Module Convolutional Neural Networks.},
  author = {Liu R},
  year = {2021},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2021/4367875},
  url = {https://doi.org/10.1155/2021/4367875}
}

RIS

TY  - JOUR
TI  - A Study of Athlete Pose Estimation Techniques in Sports Game Videos Combining Multiresidual Module Convolutional Neural Networks.
AU  - Liu R
PY  - 2021
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2021/4367875
UR  - https://doi.org/10.1155/2021/4367875
ER  -

APA

R, L. (2021). A Study of Athlete Pose Estimation Techniques in Sports Game Videos Combining Multiresidual Module Convolutional Neural Networks.. Computational intelligence and neuroscience. https://doi.org/10.1155/2021/4367875

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pubmed · retrieved 2026-09-25T14:12:01.540Z