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Models/TrackNetV2

TrackNetV2

Reported on 15 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision15 results

  • Object TrackingonTennis
    Accuracy (%)
    81.4
    best: 91.8 (WASB (Step=1))
  • Object TrackingonTennis
    Average Precision (%)
    80.6
    best: 94.2 (WASB (Step=1))
  • Object TrackingonTennis
    F1 (%)
    89.4
    best: 95.6 (WASB (Step=1))
  • Object TrackingonSoccer
    Accuracy (% )
    97.7
    best: 97.9 (WASB (Step=3))
  • Object TrackingonSoccer
    Average Precision (%)
    77.2
    best: 86.2 (WASB (Step=1))
  • Object TrackingonSoccer
    F1 (%)
    86.6
    best: 88.3 (WASB (Step=3))
  • Object TrackingonBadminton
    Accuracy (%)
    85.6
    best: 89 (WASB (Step=1))
  • Object TrackingonBadminton
    Average Precision (%)
    83.6
    best: 91.6 (WASB (Step=1))
  • Object TrackingonBadminton
    F1 (%)
    90.5
    best: 93.1 (WASB (Step=1))
  • Object TrackingonVolleyball
    Accuracy (%)
    73.8
    best: 80 (WASB (Step=1))
  • Object TrackingonVolleyball
    Average Precision (%)
    72.3
    best: 83.2 (WASB (Step=1))
  • Object TrackingonVolleyball
    F1 (%)
    83.6
    best: 88 (WASB (Step=1))
  • Object TrackingonBasketball
    Accuracy (%)
    69.3
    best: 73.4 (WASB (Step=1))
  • Object TrackingonBasketball
    Average Precision (%)
    64.6
    best: 77.1 (WASB (Step=1))
  • Object TrackingonBasketball
    F1 (%)
    78.8
    best: 82.6 (WASB (Step=1))