基于改进YOLOv5s的无人机小目标检测算法

宋耀莲,王粲,李大焱,刘欣怡

UAV small target detection algorithm based on improved YOLOv5s

Yaolian SONG,Can WANG,Dayan LI,Xinyi LIU

表 2 不同改进点组合的消融实验结果分析

Tab.2 Analysis of ablation experimental results with different combinations of improved points

实验编号 P2 FPIoU DyHead[8] BRA[9] P/% R/% mAP50/% mAP50∶95/% Params/M GFLOPs A — — — — 46.5 34.1 34.1 18.8 7.037 15.8 B √ — — — 48.7 37.8 37.8 20.9 7.446 18.7 C — √ — — 46.2 34.9 34.6 19.0 7.046 16.0 D — — √ — 45.2 34.0 33.7 18.3 7.336 16.7 E — — — √ 45.4 33.9 33.2 17.7 8.102 57.3 F — — √ √ 46.0 34.7 34.3 18.5 8.392 58.0 G √ √ — — 49.8 37.7 37.9 21.1 7.182 18.7 H √ — √ — 48.8 39.1 39.0 21.6 7.487 21.4 I √ — — √ 48.8 37.7 37.9 20.9 8.248 60.2 J √ √ √ — 49.5 39.5 39.2 21.7 7.476 21.1 K √ — √ √ 49.6 39.2 39.3 21.8 8.542 62.7 L √ √ √ √ 50.2 39.2 39.9 22.2 8.531 62.4