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 76–100 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 |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ACSP + EuroCity Persons | Heavy MR^-2 | 42.5 | — | Unverified |
| 2 | TLL | Reasonable MR^-2 | 15.5 | — | Unverified |
| 3 | FRCNN | Reasonable MR^-2 | 15.4 | — | Unverified |
| 4 | FRCNN+Seg | Reasonable MR^-2 | 14.8 | — | Unverified |
| 5 | TLL+MRF | Reasonable MR^-2 | 14.4 | — | Unverified |
| 6 | RepLoss | Reasonable MR^-2 | 13.2 | — | Unverified |
| 7 | OR-CNN | Reasonable MR^-2 | 12.8 | — | Unverified |
| 8 | ALFNet | Reasonable MR^-2 | 12 | — | Unverified |
| 9 | CSP (with offset) + ResNet-50 | Reasonable MR^-2 | 11 | — | Unverified |
| 10 | NOH-NMS | Reasonable MR^-2 | 10.8 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | INSANet | log average miss rate | 4.43 | — | Unverified |
| 2 | MMPedestron | AP | 0.73 | — | Unverified |
| 3 | CAFF-DINO | AP | 0.69 | — | Unverified |
| 4 | CFT | AP | 0.64 | — | Unverified |
| 5 | UniRGB-IR | AP | 0.63 | — | Unverified |
| 6 | RSDet | AP | 0.61 | — | Unverified |
| 7 | CMX | AP | 0.6 | — | Unverified |
| 8 | CSSA | AP | 0.59 | — | Unverified |
| 9 | GAFF | AP | 0.56 | — | Unverified |
| 10 | Halfway Fusion | AP | 0.55 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | YOLOv6 (Thermal) | mAP | 84.4 | — | Unverified |
| 2 | CFT | mAP | 82.7 | — | Unverified |
| 3 | YOLOv3 (Thermal) | mAP | 82.7 | — | Unverified |
| 4 | CMX | mAP | 81.6 | — | Unverified |
| 5 | YOLOv7 (Thermal) | mAP | 77.8 | — | Unverified |
| 6 | YOLOv6 (Visible) | mAP | 38.1 | — | Unverified |
| 7 | YOLOv7 (Visible) | mAP | 35.3 | — | Unverified |
| 8 | YOLOv3 (Visible) | mAP | 34.5 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | LSFM | MR | 0.87 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | MMPedestron | box mAP | 79 | — | Unverified |