A new synchronized video-and-tracking dataset for soccer group activity recognition shows a role-aware graph model on player positions achieves 77.8% balanced accuracy versus 60.9% for the best video model, using 479 times fewer parameters.
SoccerNet 2023 challenges results.Sports Engineering, 27(2):24
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Pixels or Positions? Benchmarking Modalities in Group Activity Recognition
A new synchronized video-and-tracking dataset for soccer group activity recognition shows a role-aware graph model on player positions achieves 77.8% balanced accuracy versus 60.9% for the best video model, using 479 times fewer parameters.