Research Article
A Small Target Pedestrian Detection Model Based on Autonomous Driving
Table 3
Comparison results with conventional pedestrian detection algorithms.
| | Methon | AFQ | Backbone | AP | AP50 | AP75 | APS | APM | APL | FPS |
| | MEL | — | CSP | 56.5 | 90.0 | 64.3 | 46.8 | 59.6 | 70.8 | 6.7 | | SIRA | — | ResNet-101-FPN | 59.7 | 91.9 | 70.0 | 53.0 | 61.8 | 62.4 | — | | YOLOV3-promote | — | G-module | — | 73.0 | 38.2 | — | — | — | 19.5 | | YOLOV5 | — | C3Net | — | 81.5 | 46.2 | — | — | — | 15.3 | | DMSFLN | — | VGG-16 | — | 53.8 | — | — | — | — | 5.3 | | FRFP | × | IResNet-50-IPFN | 69.8 | 94.8 | 82.7 | 64.1 | 72.1 | 70.5 | 13.4 | | FRFP-AFQ (ours) | √ | IResNet-50-IPFN | 69.5 | 94.5 | 82.1 | 63.8 | 72.2 | 70.5 | 15.2 | | FRFP | × | IResNet-101-IFPN | 77.3 | 95.6 | 89.0 | 73.6 | 79.4 | 76.9 | 8.7 | | FRFP-AFQ (ours) | √ | IResNet-101-IFPN | 77.0 | 95.1 | 87.6 | 73.2 | 79.4 | 79.6 | 11.1 |
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