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Towards Automated Swimming Analytics Using Deep Neural Networks

Towards Automated Swimming Analytics Using Deep Neural Networks

13 January 2020
Timothy Woinoski
Alon Harell
Ivan V. Bajić
ArXiv (abs)PDFHTML

Papers citing "Towards Automated Swimming Analytics Using Deep Neural Networks"

3 / 3 papers shown
SwimXYZ: A large-scale dataset of synthetic swimming motions and videos
SwimXYZ: A large-scale dataset of synthetic swimming motions and videosMotion in Games (MiG), 2023
Guénolé Fiche
Vincent Sevestre
Camila Gonzalez-Barral
Simon Leglaive
Renaud Séguier
347
7
0
06 Oct 2023
Swimmer Stroke Rate Estimation From Overhead Race Video
Swimmer Stroke Rate Estimation From Overhead Race Video
Timothy Woinoski
Ivan V. Bajić
223
8
0
25 Apr 2021
Decoupling Video and Human Motion: Towards Practical Event Detection in
  Athlete Recordings
Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
Moritz Einfalt
Rainer Lienhart
206
10
0
21 Apr 2020
1
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