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 6 不同算法的检测性能对比

Tab.6 Comparison of detection performance of different algorithms

模型 P/% R/% mAP50/% mAP50- 95/% Np/ 106 FLOPs/ 109 YOLOv8n 42.9 32.9 32.8 19.0 3.0 8.1 YOLOv8s 49.6 38.1 38.6 23.1 11.1 28.5 YOLOv8m 53.3 41.6 42.7 26.0 25.8 78.7 YOLOv10n 43.8 33.3 33.2 19.0 2.3 6.5 YOLOv10s 49.9 39.0 39.4 23.3 7.2 21.4 YOLOv10m 53.6 41.6 42.9 25.9 15.3 58.9 YOLOv11n 42.7 32.7 32.3 10.7 2.6 6.3 YOLOv11s 49.7 37.5 38.6 23.1 9.4 21.3 YOLOv11m 54.8 42.0 43.8 26.8 20.0 67.7 YOLOv12n 41.8 32.4 31.6 18.1 25.1 5.8 YOLOv12s 49.5 36.5 37.6 22.5 9.1 19.3 YOLOv12m 53.2 40.7 42.2 25.7 19.6 59.5 YOLOv13n 42.9 31.5 31.4 18.1 2.4 6.1 YOLOv13s 47.6 37.2 37.1 22.1 9.0 20.1 YOLOv13l 53.6 41.9 42.5 25.8 26.9 84.4 Hyper-YOLOn 44.8 35.1 35.0 20.6 3.6 9.5 Hyper-YOLOs 51.2 38.9 39.8 24.0 13.5 33.8 Hyper-YOLOm 53.7 41.5 42.5 26.0 30.7 91.8 RT-DETR-r18 58.5 41.5 43.8 26.6 19.8 57.0 RT-DETR-r34 61.5 45.5 47.2 29.0 31.1 88.8 AAPW-YOLOn[18] 49.9 37.3 38.6 22.4 2.1 11.7 PC-YOLOn[19] 46.8 35.4 36.1 21.5 1.9 — YOLO-S3DTn[20] 47.4 37.9 37.9 21.1 2.9 11.0 Eagle-YOLOs[21] 53.6 43.3 42.9 25.0 16.6 — PARE-YOLOs[22] 60.6 45.4 46.3 28.4 — — RPS-YOLO[2] 55.3 44.3 46.3 28.1 13.3 37.7 FDL-YOLOn 49.2 39.3 39.9 24.1 1.1 10.2 FDL-YOLOs 55.6 45.7 47.2 29.1 2.9 28.9