| Paper | Code | F1 (%) | Accuracy (% ) | Average Precision (%) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 88.3 | 97.9 | 83.6 | WASB (Step=3) | 2023-11-09 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 88.2 | 97.9 | 86.2 | WASB (Step=1) | 2023-11-09 |
| TrackNetV2: Efficient Shuttlecock Tracking Network | ✓ Link | 86.6 | 97.7 | 77.2 | TrackNetV2 | 2020-12-03 |
| MonoTrack: Shuttle trajectory reconstruction from monocular badminton video | ✓ Link | 85.2 | 97.4 | 78.6 | MonoTrack | 2022-04-04 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 84.6 | 97.4 | 75.5 | ResTrackNetV2 | 2023-11-09 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 44.9 | 89.5 | 34.0 | DeepBall-Large | 2023-11-09 |
| DeepBall: Deep Neural-Network Ball Detector | ✓ Link | 44.5 | 92.7 | 26.3 | DeepBall | 2019-02-19 |
| Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup | ✓ Link | 36.1 | 92.6 | 20.0 | BallSeg | 2020-07-23 |