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SotA/Computer Vision/Object Tracking/Badminton

Object Tracking on Badminton

Metric: Average Precision (%) (higher is better)

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#Model↕Average Precision (%)▼Extra DataPaperDate↕Code
1WASB (Step=1)91.6NoWidely Applicable Strong Baseline for Sports Bal...2023-11-09Code
2WASB (Step=3)88.5NoWidely Applicable Strong Baseline for Sports Bal...2023-11-09Code
3MonoTrack84.9NoMonoTrack: Shuttle trajectory reconstruction fro...2022-04-04Code
4TrackNetV283.6No--Code
5ResTrackNetV282.2NoWidely Applicable Strong Baseline for Sports Bal...2023-11-09Code
6BallSeg68.4NoReal-time CNN-based Segmentation Architecture fo...2020-07-23Code
7DeepBall60NoDeepBall: Deep Neural-Network Ball Detector2019-02-19Code
8DeepBall-Large59.5NoWidely Applicable Strong Baseline for Sports Bal...2023-11-09Code