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4 本文算法和对比方法在ZJU?Group 4上的定量实验结果的比较
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Table 4 Quantitative experimental results of our model and other models on ZJU?Group 4
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| 方法 | f | TPR | FPR | PPV | NPV | MAE | Time (ms) |
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| PicaNet (Group) | 63.12% | 68.15% | 3.26% | 58.79% | 97.16% | 0.010 | 95 | | PicaNet (Total) | 63.52% | 68.14% | 3.11% | 59.49% | 97.03% | 0.006 | 95 | | F3Net (Group) | 73.95% | 79.06% | 2.36% | 69.46% | 98.01% | 0.044 | 21 | | F3Net (Total) | 71.71% | 77.83% | 2.77% | 66.49% | 98.14% | 0.177 | 21 | | U2Net (Group) | 73.66% | 78.88% | 2.76% | 69.09% | 98.28% | 0.012 | 26 | | U2Net (Total) | 70.14% | 75.42% | 3.05% | 65.55% | 98.02% | 0.014 | 26 | | GCPANet (Group) | 72.04% | 78.39% | 5.39% | 66.64% | 96.99% | 0.350 | 19 | | GCPANet (Total) | 74.74% | 80.81% | 2.68% | 69.51% | 97.63% | 0.160 | 19 | | SCWS (Group) | 71.17% | 86.32% | 9.76% | 60.55% | 93.42% | 0.033 | 21 | | SCWS (Total) | 70.11% | 82.93% | 10.06% | 60.72% | 93.19% | 0.100 | 21 | | DDNet (Group) | 72.76% | 78.81% | 4.88% | 67.57% | 98.28% | 0.024 | 20 | | DDNet (Total) | 72.69% | 78.76% | 5.62% | 67.49% | 98.26% | 0.029 | 20 | | RCSB (Group) | 71.47% | 74.57% | 3.85% | 68.62% | 98.53% | 0.018 | 78 | | RCSB (Total) | 71.01% | 74.14% | 4.05% | 68.13% | 98.50% | 0.026 | 78 | | WNet (Group) (Ours) | 74.86% | 78.16% | 2.22% | 71.84% | 98.45% | 0.014 | 25 | | WNet (Total) | 73.50% | 76.10% | 2.20% | 71.08% | 98.26% | 0.013 | 25 |
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