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2 本文算法和对比方法在ZJU?Group 2上的定量实验结果的比较
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Table 2 Quantitative experimental results of our model and other models on ZJU?Group 2
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| 方法 | f | TPR | FPR | PPV | NPV | MAE | Time (ms) |
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| PicaNet (Group) | 67.48% | 73.46% | 4.16% | 62.40% | 98.02% | 0.012 | 95 | | PicaNet (Total) | 65.48% | 68.42% | 2.88% | 62.77% | 96.93% | 0.007 | 95 | | F3Net (Group) | 76.36% | 82.15% | 2.42% | 71.34% | 98.11% | 0.128 | 19 | | F3Net (Total) | 73.76% | 78.74% | 2.55% | 69.37% | 98.00% | 0.146 | 19 | | U2Net (Group) | 73.34% | 77.69% | 2.80% | 69.46% | 98.11% | 0.014 | 25 | | U2Net (Total) | 70.34% | 74.70% | 3.01% | 66.46% | 97.73% | 0.013 | 25 | | GCPANet (Group) | 74.38% | 80.32% | 3.11% | 69.26% | 97.13% | 0.196 | 20 | | GCPANet (Total) | 75.19% | 80.69% | 2.62% | 70.40% | 97.35% | 0.171 | 20 | | SCWS (Group) | 69.83% | 77.29% | 9.32% | 63.68% | 93.51% | 0.090 | 20 | | SCWS (Total) | 69.02% | 82.64% | 11.50% | 59.25% | 92.21% | 0.113 | 20 | | DDNet (Group) | 74.54% | 78.72% | 2.96% | 70.78% | 98.17% | 0.015 | 18 | | DDNet (Total) | 74.29% | 78.74% | 4.31% | 70.33% | 98.05% | 0.017 | 18 | | RCSB (Group) | 72.03% | 79.55% | 5.41% | 65.80% | 98.81% | 0.012 | 73 | | RCSB (Total) | 71.76% | 76.24% | 5.30% | 67.78% | 97.73% | 0.035 | 73 | | WNet (Group) (Ours) | 76.66% | 79.34% | 2.29% | 74.16% | 98.45% | 0.013 | 24 | | WNet (Total) | 74.64% | 78.30% | 2.47% | 71.30% | 98.30% | 0.014 | 24 |
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