基于全局信息感知的轻量级螺纹钢表面缺陷检测算法
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肖剑,杨小苑,何昕泽,陈林,胡欣
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Lightweight rebar surface defect detection algorithm based on global information perception
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Jian XIAO,Xiaoyuan YANG,Xinze HE,Lin CHEN,Xin HU
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| 表 5 不同改进策略的消融实验 |
| Tab.5 Ablation experiments of different improvement strategies |
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| 模型 | A | B | C | D | 类别 | P/% | R/% | mAP@0.5/% | mAP@0.5-0.95/% | Np/M | FLOPs/G | FPS/(帧·s−1) | | M0 | — | — | — | — | 划伤 | 92.9 | 85.2 | 93.0 | 54.7 | 3.0 | 8.1 | 133 | | 锈迹 | 88.0 | 76.2 | 87.2 | 52.2 | | 结疤 | 84.1 | 87.8 | 90.5 | 60.7 | | All | 88.3 | 83.1 | 90.2 | 55.9 | | M1 | √ | — | — | — | 划伤 | 89.2 | 90.0 | 94.4 | 54.5 | 2.4 | 6.8 | 148 | | 锈迹 | 89.3 | 80.2 | 89.9 | 53.0 | | 结疤 | 84.0 | 92.0 | 94.4 | 61.1 | | All | 87.5 | 87.4 | 92.9 | 56.2 | | M2 | — | √ | — | — | 划伤 | 90.4 | 86.8 | 92.4 | 54.1 | 2.1 | 7.3 | 152 | | 锈迹 | 88.9 | 79.9 | 89.4 | 53.0 | | 结疤 | 85.4 | 90.6 | 92.5 | 64.4 | | All | 88.2 | 85.8 | 91.4 | 57.2 | | M3 | — | — | √ | — | 划伤 | 92.0 | 90.9 | 94.3 | 57.4 | 2.4 | 6.5 | 135 | | 锈迹 | 88.4 | 82.9 | 89.3 | 57.8 | | 结疤 | 82.0 | 85.7 | 88.9 | 55.4 | | All | 87.5 | 86.5 | 90.9 | 57.4 | | M4 | √ | √ | — | — | 划伤 | 89.9 | 90.9 | 94.5 | 57.4 | 1.8 | 6.4 | 141 | | 锈迹 | 87.2 | 84.0 | 91.6 | 54.4 | | 结疤 | 88.9 | 93.8 | 92.1 | 56.6 | | All | 88.7 | 89.5 | 92.7 | 56.8 | | M5 | √ | √ | √ | — | 划伤 | 89.2 | 91.2 | 95.0 | 55.4 | 1.4 | 5.3 | 149 | | 锈迹 | 87.6 | 84.0 | 91.5 | 55.7 | | 结疤 | 86.4 | 90.9 | 93.8 | 60.6 | | All | 87.8 | 88.7 | 93.4 | 57.2 | | M6 | √ | √ | √ | F | 划伤 | 91.2 | 92.4 | 95.6 | 56.3 | 1.4 | 5.3 | 155 | | 锈迹 | 91.0 | 86.6 | 94.2 | 56.1 | | 结疤 | 86.3 | 88.6 | 93.1 | 64.2 | | All | 90.0 | 88.9 | 94.3 | 58.9 | | M7 | √ | √ | √ | C | 划伤 | 91.4 | 93.0 | 96.5 | 56.2 | 1.4 | 5.3 | 152 | | 锈迹 | 91.2 | 86.5 | 94.6 | 56.3 | | 结疤 | 87.6 | 87.2 | 92.5 | 64.0 | | All | 90.2 | 89.0 | 94.5 | 58.8 | | M8 | √ | √ | √ | L | 划伤 | 91.6 | 93.0 | 96.3 | 56.4 | 1.4 | 5.3 | 156 | | 锈迹 | 91.2 | 86.8 | 94.7 | 56.1 | | 结疤 | 87.7 | 87.1 | 92.4 | 64.0 | | All | 90.2 | 89.0 | 94.5 | 58.8 |
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