| Paper | Code | F1 (%) | Accuracy (%) | Average Precision (%) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 93.1 | 89.0 | 91.6 | WASB (Step=1) | 2023-11-09 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 91.6 | 87.0 | 88.5 | WASB (Step=3) | 2023-11-09 |
| MonoTrack: Shuttle trajectory reconstruction from monocular badminton video | ✓ Link | 90.9 | 85.9 | 84.9 | MonoTrack | 2022-04-04 |
| TrackNetV2: Efficient Shuttlecock Tracking Network | ✓ Link | 90.5 | 85.6 | 83.6 | TrackNetV2 | 2020-12-03 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 89.4 | 84.0 | 82.2 | ResTrackNetV2 | 2023-11-09 |
| Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup | ✓ Link | 79.9 | 72.2 | 68.4 | BallSeg | 2020-07-23 |
| DeepBall: Deep Neural-Network Ball Detector | ✓ Link | 52.4 | 38.6 | 60.0 | DeepBall | 2019-02-19 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 50.6 | 36.8 | 59.5 | DeepBall-Large | 2023-11-09 |