Pedestrian Detection
Pedestrian detection is the task of detecting pedestrians from a camera.
Further state-of-the-art results (e.g. on the KITTI dataset) can be found at 3D Object Detection.
( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )
Papers
Showing 1–10 of 438 papers
All datasetsCaltechCityPersonsLLVIPDVTODTJU-Ped-trafficTJU-Ped-campusCVC14Caltech Pedestrian DatasetMMPD-Dataset
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | UniHCP (FT) | Heavy MR^-2 | 27.2 | — | Unverified |
| 2 | LDCF | Reasonable Miss Rate | 24.8 | — | Unverified |
| 3 | AlexNet | Reasonable Miss Rate | 23.3 | — | Unverified |
| 4 | TA-CNN | Reasonable Miss Rate | 20.9 | — | Unverified |
| 5 | Checkerboards+ | Reasonable Miss Rate | 17.1 | — | Unverified |
| 6 | NNNF | Reasonable Miss Rate | 16.2 | — | Unverified |
| 7 | Part-level CNN + saliency and bounding box alignment | Reasonable Miss Rate | 12.4 | — | Unverified |
| 8 | CompACT-Deep | Reasonable Miss Rate | 11.75 | — | Unverified |
| 9 | MCF | Reasonable Miss Rate | 10.4 | — | Unverified |
| 10 | MS-CNN | Reasonable Miss Rate | 9.95 | — | Unverified |