Research Article
Earf-YOLO: An Efficient Attention Receptive Field Model for Recognizing Symbols of Zhuang Minority Patterns
Table 2
Experimental results of different models on the VOC2007 and VOC2012 testing sets.
| Methods | The backbone network | AP(%) |
| YOLOv1 448 | VGG16 | 66.4 | YOLOv2 544 | Darknet19 | 78.6 | YOLOv3 416 | Darknet53 | 79.3 | YOLOv4 640 | CSPDarknet53 | 88.9 | YOLOv5s | CSPDarknet53 | 85.7 | Faster RCNN | ResNet-101 | 76.4 | RefineDet512 [46] | VGfotG-16 | 80.1 | R-FCN-3000 [47] | ResNet-101 | 80.5 | DES512 [48] | VGG-16 | 80.3 | DSSD [49] | ResNet-101 | 81.5 | ASSD [50] | ResNet-101 | 83.0 | Earf-YOLO | CSPDarknet53 | 91.7 |
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