| Paper | Code | F1 (%) | Accuracy (%) | Average Precision (%) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 82.6 | 73.4 | 77.1 | WASB (Step=1) | 2023-11-09 |
| MonoTrack: Shuttle trajectory reconstruction from monocular badminton video | ✓ Link | 80.8 | 71.3 | 65.3 | MonoTrack | 2022-04-04 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 80.6 | 71.3 | 71.5 | WASB (Step=3) | 2023-11-09 |
| TrackNetV2: Efficient Shuttlecock Tracking Network | ✓ Link | 78.8 | 69.3 | 64.6 | TrackNetV2 | 2020-12-03 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 77.9 | 68.2 | 66.0 | ResTrackNetV2 | 2023-11-09 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 57.2 | 47.5 | 36.6 | DeepBall-Large | 2023-11-09 |
| Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup | ✓ Link | 16.8 | 20.5 | 5.3 | BallSeg | 2020-07-23 |
| DeepBall: Deep Neural-Network Ball Detector | ✓ Link | 0 | 12.9 | 0 | DeepBall | 2019-02-19 |