双端输入型嵌套融合多尺度信息的织物瑕疵检测
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曲皓, 狄岚, 梁久祯, 刘昊
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Double⁃ended input type nested fusion of multi⁃scale information for fabric defect detection
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Hao Qu, Lan Di, Jiuzhen Liang, Hao Liu
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表3 本文算法和对比方法在ZJU?Group 3上的定量实验结果的比较
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Table 3 Quantitative experimental results of our model and other models on ZJU?Group 3
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| 方法 | f | TPR | FPR | PPV | NPV | MAE | Time (ms) |
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| PicaNet (Group) | 63.72% | 67.91% | 2.63% | 60.02% | 98.23% | 0.021 | 95 | | PicaNet (Total) | 55.66% | 61.07% | 3.42% | 51.14% | 97.56% | 0.006 | 95 | | F3Net (Group) | 72.51% | 77.95% | 2.08% | 67.78% | 98.38% | 0.035 | 20 | | F3Net (Total) | 70.30% | 74.47% | 1.83% | 66.58% | 98.35% | 0.127 | 20 | | U2Net (Group) | 71.89% | 75.63% | 2.07% | 68.49% | 98.57% | 0.012 | 25 | | U2Net (Total) | 63.92% | 71.34% | 2.91% | 57.91% | 97.92% | 0.011 | 25 | | GCPANet (Group) | 70.97% | 77.29% | 5.55% | 65.60% | 97.68% | 0.230 | 18 | | GCPANet (Total) | 72.48% | 79.07% | 2.39% | 66.90% | 97.84% | 0.191 | 18 | | SCWS (Group) | 72.96% | 81.49% | 10.26% | 66.05% | 91.35% | 0.102 | 20 | | SCWS (Total) | 70.54% | 80.60% | 10.10% | 62.71% | 92.22% | 0.101 | 20 | | DDNet (Group) | 70.11% | 76.03% | 3.96% | 65.04% | 98.52% | 0.013 | 19 | | DDNet (Total) | 69.94% | 75.75% | 6.04% | 64.96% | 98.34% | 0.022 | 19 | | RCSB (Group) | 71.74% | 80.75% | 2.79% | 64.55% | 98.99% | 0.008 | 74 | | RCSB (Total) | 64.54% | 67.86% | 6.52% | 61.52% | 98.25% | 0.048 | 74 | | WNet (Group) (Ours) | 74.16% | 79.60% | 2.05% | 69.42% | 99.07% | 0.013 | 23 | | WNet (Total) | 70.62% | 76.62% | 2.16% | 65.49% | 98.80% | 0.010 | 23 |
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