重构YOLOv11的无人机小目标检测算法
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孟昱煜,孔垂乐,火久元,武泽宇
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UAV small target detection algorithm based on reconstruction of YOLOv11
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Yuyu MENG,Chuile KONG,Jiuyuan HUO,Zeyu WU
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| 表 2 VisDrone2021数据集上不同算法的性能对比实验结果 |
| Tab.2 Performance comparison of different algorithms on VisDrone2021 dataset |
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| 模型尺寸 | 算法 | P/% | R/% | mAP50/% | mAP50-90/% | Np/106 | FPS/(帧·s−1) | FLOP/(109·s−1) | | N | Drone-YOLO | 46.5 | 35.6 | 36.1 | 21.3 | 3.0 | 79.4 | 12.4 | | YOLOv5n | 42.8 | 32.0 | 32.3 | 18.2 | 2.2 | 96.6 | 5.8 | | YOLOv6n | 39.8 | 31.2 | 30.3 | 17.5 | 4.2 | 97.8 | 11.8 | | YOLOv8n | 44.2 | 31.9 | 32.4 | 19.0 | 3.0 | 101.5 | 8.1 | | YOLOv8-Ghostp2 | 44.0 | 32.3 | 32.6 | 18.8 | 1.6 | 66.8 | 7.3 | | YOLOv9t | 44.0 | 33.1 | 33.3 | 19.3 | 2.0 | 71.8 | 7.6 | | YOLOv10n | 43.0 | 32.4 | 32.5 | 18.7 | 2.7 | 70.2 | 8.2 | | YOLOv11n | 42.7 | 33.0 | 32.9 | 18.8 | 2.6 | 82.3 | 6.3 | | YOLOv12n | 41.7 | 31.4 | 30.9 | 17.8 | 2.5 | 46.7 | 6.0 | | DLSRF-Net | 49.9 | 38.1 | 40.1 | 24.2 | 2.8 | 109.8 | 11.9 | | M | YOLOv8s | 49.5 | 36.9 | 37.8 | 22.6 | 11.2 | 98.6 | 28.5 | | YOLOv9s | 50.0 | 38.7 | 39.4 | 23.4 | 7.2 | 36.7 | 26.7 | | YOLOv10s | 48.0 | 37.5 | 37.9 | 22.5 | 8.1 | 68.9 | 24.5 | | YOLOv11s | 48.2 | 37.7 | 37.9 | 22.7 | 9.4 | 79.6 | 21.3 | | YOLOv12s | 48.5 | 36.8 | 36.9 | 22.0 | 9.1 | 47.8 | 19.3 | | RT-DETR | 54.4 | 42.7 | 45.3 | 27.5 | 19.8 | 44.8 | 36.7 | | DLSRF-Net | 60.1 | 45.6 | 47.3 | 28.6 | 7.1 | 103.1 | 25.5 |
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