Papers › Adapted Center and Scale Prediction: More Stable and More Accurate
Adapted Center and Scale Prediction: More Stable and More Accurate
Wenhao Wang
Pedestrian detection benefits from deep learning technology and gains rapid development in recent years. Most of detectors follow general object detection frame, i.e. default boxes and two-stage process. Recently, anchor-free and one-stage detectors have been introduced into this area. However, their accuracies are unsatisfactory. Therefore, in order to enjoy the simplicity of anchor-free detectors and the accuracy of two-stage ones simultaneously, we propose some adaptations based on a detector, Center and Scale Prediction(CSP). The main contributions of our paper are: (1) We improve the robustness of CSP and make it easier to train. (2) We propose a novel method to predict width, namely compressing width. (3) We achieve the second best performance on CityPersons benchmark, i.e. 9.3% log-average miss rate(MR) on reasonable set, 8.7% MR on partial set and 5.6% MR on bare set, which shows an anchor-free and one-stage detector can still have high accuracy. (4) We explore some capabilities of Switchable Normalization which are not mentioned in its original paper.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Pedestrian Detection | CityPersons | ACSP | Bare MR^-2 | 5.6 | #7 of 22 | Archive leaderboard | report |
| Pedestrian Detection | CityPersons | ACSP | Heavy MR^-2 | 46.3 | #7 of 22 | Archive leaderboard | report |
| Pedestrian Detection | CityPersons | ACSP | Partial MR^-2 | 8.7 | #7 of 22 | Archive leaderboard | report |
| Pedestrian Detection | CityPersons | ACSP | Reasonable MR^-2 | 9.3 | #7 of 22 | Archive leaderboard | report |
| Pedestrian Detection | CityPersons | ACSP + EuroCity Persons | Bare MR^-2 | 4.9 | #22 of 22 | Archive leaderboard | report |
| Pedestrian Detection | CityPersons | ACSP + EuroCity Persons | Heavy MR^-2 | 42.5 | #22 of 22 | Archive leaderboard | report |
| Pedestrian Detection | CityPersons | ACSP + EuroCity Persons | Partial MR^-2 | 6.9 | #22 of 22 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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