基于上下文增强与多目标语义感知的电力缺陷检测算法
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胡欣,阎希玥,常娅姝,程鸿亮,肖剑,罗诗伟,马亮
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Context-enhanced multi-target semantic perception algorithm for power defect detection
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Xin HU,Xiyue YAN,Yashu CHANG,Hongliang CHENG,Jian XIAO,Shiwei LUO,Liang MA
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| 表 7 网络模型对比实验 |
| Tab.7 Comparison experiments of network models |
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| 算法 | P | R | mAP50 | mAP50-95 | FLOPs/ 109 | Parameters/ 106 | FPS/ (帧·s−1) | | YOLOv6(l) | 0.657 | 0.579 | 0.628 | 0.484 | 391.2 | 110.800 | 70.422 | | YOLOv8(l) | 0.705 | 0.655 | 0.706 | 0.526 | 164.9 | 43.622 | 53.763 | | RT-DETR | 0.696 | 0.571 | 0.607 | 0.449 | 114.9 | 44.220 | 116.279 | | YOLOv9(c) | 0.715 | 0.626 | 0.692 | 0.537 | 78.7 | 25.850 | 163.930 | | YOLOv10(l) | 0.667 | 0.600 | 0.648 | 0.501 | 282.3 | 103.700 | 79.365 | | PDD-SPCIE | 0.719 | 0.642 | 0.712 | 0.538 | 122.7 | 49.100 | 78.740 |
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