基于多尺度特征聚合的航拍图像检测算法

李珺,丁彬彬,史维娟,杨琳

Aerial image detection algorithm based on multiscale feature aggregation

Jun LI,Binbin DING,Weijuan SHI,Lin YANG

表 5 各个类别的精度对比

Tab.5 Comparison of accuracy among various categories

模型 mAP50/% Pedestrian People Bicycle Motor Tricycle Awning-tri Truck Car Bus Van 总体值 SSD 18.7 9.0 5.0 19.1 11.7 15.5 33.1 63.2 47.2 30.0 25.3 Faster R-CNN 20.9 14.8 7.3 21.2 14.0 8.8 19.5 51.0 30.5 29.7 21.8 CenterNet 22.6 20.6 14.6 23.7 20.1 17.4 21.3 59.7 37.9 24.0 26.2 YOLOv5s 39.2 31.4 10.6 38.4 18.2 9.8 26.2 72.6 39.9 33.7 32.0 YOLOv6s 37.2 29.8 8.9 39.6 23.6 14.8 32.5 78.1 51.2 42.6 35.8 YOLOv8s 42.2 31.6 12.0 43.3 26.4 14.6 36.0 79.2 56.8 43.7 38.6 YOLOv9s 38.4 32.8 10.3 42.2 26.9 15.0 34.3 78.0 51.5 43.2 37.3 YOLOv10s 43.1 34.0 14.1 45.0 27.4 15.3 35.2 79.9 55.1 44.7 39.4 YOLOv11s 42.4 31.8 11.8 43.3 26.6 14.7 35.3 79.4 56.3 44.9 38.7 YOLOv12s 41.0 30.6 11.3 42.5 25.6 14.2 33.4 78.7 55.6 43.2 37.6 YOLOv13s 40.6 31.0 11.7 41.1 26.7 13.9 33.5 78.6 50.2 43.5 37.1 Hyper-YOLOs 43.0 32.8 13.2 43.9 29.2 15.1 36.7 79.5 61.0 44.1 39.8 RT-DETR-r18 51.1 44.2 17.5 55.5 29.2 17.1 33.5 84.7 56.6 49.0 43.8 DMF-YOLO[15] 54.5 43.7 18.3 53.5 33.4 19.3 40.8 85.7 61.3 51.5 46.2 HSF-YOLO[16] 53.5 42.0 17.7 53.2 33.1 17.7 36.7 84.3 61.2 49.0 44.8 YOLO-GAIS[17] 48.5 55.4 23.8 52.5 38.7 24.4 35.4 77.9 49.4 39.2 43.2 FDL-YOLOs 55.3 45.5 20.3 55.0 34.4 20.7 41.4 85.5 61.9 52.3 47.2