| Paper | Code | R (miss rate) | RS (miss rate) | HO (miss rate) | R+HO (miss rate) | ALL (miss rate) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|---|
| Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving | 18.7 | 24.9 | 56.2 | LSFM | 2023-01-01 | |||
| Pedestrian Detection by Exemplar-Guided Contrastive Learning | 19.73 | - | 60.05 | 24.19 | 35.76 | EGCL | 2021-11-17 | |
| Detection in Crowded Scenes: One Proposal, Multiple Predictions | ✓ Link | 20.82 | - | 61.22 | 25.28 | 36.94 | CrowdDet | 2020-03-20 |
| Feature Pyramid Networks for Object Detection | ✓ Link | 22.30 | 35.19 | 60.30 | 26.71 | 37.78 | FPN | 2016-12-09 |
| Focal Loss for Dense Object Detection | ✓ Link | 23.89 | 37.92 | 61.60 | 28.45 | 41.40 | RetinaNet | 2017-08-07 |
| FCOS: Fully Convolutional One-Stage Object Detection | ✓ Link | 24.35 | 37.40 | 63.73 | 28.86 | 40.02 | FCOS | 2019-04-02 |