Research Article
Improving Faster R-CNN Framework for Fast Vehicle Detection
Table 4
The AP results and the inference time of each enhanced module and the original Faster R-CNN.
| Method | Average precision | Processing time (s) | Easy (%) | Moderate (%) | Hard (%) |
| Faster R-CNN [2] | 87.33 | 86.67 | 76.78 | 2 | Soft-NMS | 88.66 | 87.27 | 76.79 | 2 | Context-aware RoI pooling | 88.05 | 90.84 | 80.16 | 2 | MobileNet | 86.25 | 86.07 | 76.18 | 0.15 |
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