基于改进YOLOX-s的机场跑道冰雪状态感知

邢志伟, 阚犇, 刘子硕, 李彪, 罗谦

Airport Pavement Snow and Ice State Perception Based on Improved YOLOX-s

XING Zhiwei, KAN Ben, LIU Zishuo, LI Biao, LUO Qian

表2 不同网络模型测试结果对比

Tab.2 Comparision of test results of different network models

算法 φAP ψmAP ?mR FPS/ (帧·s-1) 雪 雪浆 融雪 冻冰 湿冰 水 Faster R-CNN 0.789 8 0.842 1 0.814 0 0.833 4 0.794 2 0.922 5 0.832 7 0.702 5 18 SSD 0.764 3 0.820 1 0.801 0 0.805 6 0.779 5 0.911 5 0.813 7 0.683 4 16 YOLOv5-s 0.795 6 0.854 2 0.825 8 0.853 2 0.802 5 0.931 3 0.843 8 0.726 2 25 YOLOX-s 0.810 7 0.882 5 0.876 3 0.868 8 0.826 3 0.946 5 0.868 5 0.790 2 24 IYOLOX-s 0.871 1 0.915 4 0.923 9 0.915 8 0.883 8 0.981 9 0.915 3 0.834 5 23