Research Article
Improving Faster R-CNN Framework for Fast Vehicle Detection
Table 2
The architecture of the base network.
| Type/stride | Filter shape | Input size |
| Conv/s2 | 3 × 3 × 3 × 32 | 224 × 224 × 3 | Conv dw/s1 | 3 × 3 × 32 dw | 112 × 112 × 32 | Conv/s1 | 1 × 1 × 32 × 64 | 112 × 112 × 32 | Conv dw/s2 | 3 × 3 × 64 dw | 112 × 112 × 64 | Conv/s1 | 1 × 1 × 64 × 128 | 56 × 56 × 64 | Conv dw/s1 | 3 × 3 × 128 dw | 56 × 56 × 128 | Conv/s1 | 1 × 1 × 128 × 128 | 56 × 56 × 128 | Conv dw/s2 | 3 × 3 × 128 dw | 56 × 56 × 128 | Conv/s1 | 1 × 1 × 128 × 256 | 28 × 28 × 128 | Conv dw/s1 | 3 × 3 × 256 dw | 28 × 28 × 256 | Conv/s1 | 1 × 1 × 256 × 256 | 28 × 28 × 256 | Conv dw/s2 | 3 × 3 × 256 dw | 28 × 28 × 256 | Conv/s1 | 1 × 1 × 256 × 512 | 14 × 14 × 256 | 5 × conv dw/s1 | 3 × 3 × 512 dw | 14 × 14 × 512 | 5 × conv/s1 | 1 × 1 × 512 × 512 | 14 × 14 × 512 |
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