Research Article
A Surface Target Recognition Algorithm Based on Coordinate Attention and Double-Layer Cascade
Table 4
Accuracy for each category on VOC2012.
| Model | Backbone | GPU | Aero | Bike | Boat | Bus | Car | mAP |
| Fast R-CNN | VGG-16 | Yes | 82.3 | 78.4 | 52.3 | 77.8 | 71.6 | 68.4 | Faster R-CNN | ResNet-101 | Yes | 84.9 | 79.8 | 53.9 | 77.5 | 75.9 | 70.4 | YOLO | DarkNet-53 | Yes | 77.0 | 67.2 | 38.3 | 68.9 | 55.9 | 57.9 | SSD300 | VGG-16 | Yes | 85.6 | 80.1 | 57.6 | 79.4 | 76.1 | 76.8 | SSD513 | ResNet-101 | Yes | 87.4 | 82.3 | 59.0 | 81.7 | 81.5 | 74.9 | YOLOv3 | DarkNet-53 | Yes | 81.7 | 85.7 | 65.5 | 87.2 | 87.5 | 74.5 | Our model | CSP DarkNet-53 | Yes | 85.3 | 81.9 | 76.2 | 88.9 | 83.6 | 78.2 |
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