Table 3. The result comparison on the selected VOC dataset.
| Method | Faster R-CNN | Mask R-CNN | Ours | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Index | Precision | Recall | F1-score | Precision | Recall | F1-score | Precision | Recall | F1-score |
| Bicycle | 0.46 | 0.44 | 0.45 | 0.53 | 0.55 | 0.54 | 0.55 | 0.57 | 0.56 |
| Car | 0.41 | 0.38 | 0.39 | 0.49 | 0.47 | 0.48 | 0.51 | 0.53 | 0.52 |
| Bus | 0.57 | 0.51 | 0.54 | 0.67 | 0.68 | 0.67 | 0.69 | 0.71 | 0.70 |
| Bird | 0.39 | 0.31 | 0.35 | 0.48 | 0.49 | 0.48 | 0.52 | 0.62 | 0.57 |
| Cat | 0.61 | 0.52 | 0.56 | 0.66 | 0.67 | 0.66 | 0.68 | 0.69 | 0.68 |
| Dog | 0.56 | 0.49 | 0.52 | 0.59 | 0.56 | 0.57 | 0.61 | 0.66 | 0.63 |