| Paper | Code | F1 (%) | Accuracy (%) | Average Precision (%) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 95.6 | 91.8 | 94.2 | WASB (Step=1) | 2023-11-09 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 94.0 | 89.0 | 91.0 | WASB (Step=3) | 2023-11-09 |
| MonoTrack: Shuttle trajectory reconstruction from monocular badminton video | ✓ Link | 92.1 | 85.9 | 87.3 | MonoTrack | 2022-04-04 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 90.3 | 82.8 | 81.7 | ResTrackNetV2 | 2023-11-09 |
| TrackNetV2: Efficient Shuttlecock Tracking Network | ✓ Link | 89.4 | 81.4 | 80.6 | TrackNetV2 | 2020-12-03 |
| Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup | ✓ Link | 71.7 | 57.5 | 56.8 | BallSeg | 2020-07-23 |
| DeepBall: Deep Neural-Network Ball Detector | ✓ Link | 47.4 | 32.3 | 47.0 | DeepBall | 2019-02-19 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 46.7 | 31.6 | 35.1 | DeepBall-Large | 2023-11-09 |