Object Tracking on Badminton
Metric: Average Precision (%) (higher is better)
Metric: Average Precision (%) (higher is better)
| # | Model↕ | Average Precision (%)▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | WASB (Step=1) | 91.6 | No | Widely Applicable Strong Baseline for Sports Bal... | 2023-11-09 | Code |
| 2 | WASB (Step=3) | 88.5 | No | Widely Applicable Strong Baseline for Sports Bal... | 2023-11-09 | Code |
| 3 | MonoTrack | 84.9 | No | MonoTrack: Shuttle trajectory reconstruction fro... | 2022-04-04 | Code |
| 4 | TrackNetV2 | 83.6 | No | - | - | Code |
| 5 | ResTrackNetV2 | 82.2 | No | Widely Applicable Strong Baseline for Sports Bal... | 2023-11-09 | Code |
| 6 | BallSeg | 68.4 | No | Real-time CNN-based Segmentation Architecture fo... | 2020-07-23 | Code |
| 7 | DeepBall | 60 | No | DeepBall: Deep Neural-Network Ball Detector | 2019-02-19 | Code |
| 8 | DeepBall-Large | 59.5 | No | Widely Applicable Strong Baseline for Sports Bal... | 2023-11-09 | Code |