| Paper | Code | F1 (%) | Accuracy (%) | Average Precision (%) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 88.0 | 80.0 | 83.2 | WASB (Step=1) | 2023-11-09 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 86.5 | 77.9 | 79.9 | WASB (Step=3) | 2023-11-09 |
| MonoTrack: Shuttle trajectory reconstruction from monocular badminton video | ✓ Link | 85.1 | 75.9 | 72.1 | MonoTrack | 2022-04-04 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 84.2 | 74.7 | 74.7 | ResTrackNetV2 | 2023-11-09 |
| TrackNetV2: Efficient Shuttlecock Tracking Network | ✓ Link | 83.6 | 73.8 | 72.3 | TrackNetV2 | 2020-12-03 |
| Widely Applicable Strong Baseline for Sports Ball Detection and Tracking | ✓ Link | 70.4 | 57.5 | 56.5 | DeepBall-Large | 2023-11-09 |
| DeepBall: Deep Neural-Network Ball Detector | ✓ Link | 64.4 | 50.7 | 49.2 | DeepBall | 2019-02-19 |
| Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup | ✓ Link | 19.5 | 17.5 | 8.5 | BallSeg | 2020-07-23 |