Research Article
Vehicle Attribute Recognition for Normal Targets and Small Targets Based on Multitask Cascaded Network
Table 10
The attribute recognition results for the small targets on the COCO-Vehicle dataset.
| Method | Bus (%) | Microbus (%) | Minivan (%) | Sedan (%) | SUV (%) | Truck (%) | Total (%) |
| CNN | 65.25 | 37.70 | 38.36 | 43.93 | 38.36 | 51.14 | 45.79 | Fast R-CNN | 70.50 | 49.18 | 53.77 | 44.59 | 54.09 | 57.70 | 54.97 | Faster R-CNN | 74.10 | 53.12 | 59.67 | 51.15 | 55.41 | 60.62 | 59.34 | CNN + CNN | 74.99 | 54.89 | 59.80 | 52.53 | 56.99 | 61.39 | 60.10 | IFR-CNN + CNN | 75.70 | 55.12 | 59.97 | 53.45 | 57.41 | 62.51 | 60.71 | MC-CNN-NT | 77.70 | 57.04 | 60.00 | 54.75 | 58.36 | 62.62 | 61.75 | MC-CNN-ST | 88.27 | 79.46 | 75.67 | 75.10 | 77.52 | 79.95 | 79.33 |
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