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1 本文算法和对比方法在ZJU?Group 1上的定量实验结果的比较
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Table 1 Quantitative experimental results of our model and other models on ZJU?Group 1
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| 方法 | f | TPR | FPR | PPV | NPV | MAE | Time (ms) |
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| PicaNet (Group) | 75.62% | 77.89% | 2.28% | 73.48% | 98.12% | 0.020 | 99 | | PicaNet (Total) | 65.56% | 67.85% | 2.66% | 63.43% | 97.30% | 0.004 | 99 | | F3Net (Group) | 76.92% | 82.92% | 2.38% | 71.72% | 98.17% | 0.032 | 23 | | F3Net (Total) | 74.93% | 79.32% | 2.11% | 71.00% | 97.83% | 0.098 | 23 | | U2Net (Group) | 76.01% | 78.77% | 2.21% | 73.43% | 98.13% | 0.016 | 27 | | U2Net (Total) | 73.78% | 77.18% | 2.43% | 70.67% | 97.69% | 0.010 | 27 | | GCPANet (Group) | 76.80% | 82.75% | 2.61% | 71.64% | 97.93% | 0.150 | 20 | | GCPANet (Total) | 76.30% | 81.51% | 2.24% | 71.72% | 97.73% | 0.125 | 20 | | SCWS (Group) | 72.90% | 79.05% | 8.08% | 67.64% | 93.10% | 0.080 | 22 | | SCWS (Total) | 74.12% | 82.15% | 7.01% | 67.51% | 96.45% | 0.069 | 22 | | DDNet (Group) | 76.87% | 81.08% | 2.55% | 73.07% | 98.09% | 0.014 | 20 | | DDNet (Total) | 74.18% | 77.89% | 3.14% | 70.81% | 97.88% | 0.012 | 20 | | RCSB (Group) | 74.85% | 76.43% | 1.82% | 73.34% | 98.07% | 0.015 | 76 | | RCSB (Total) | 72.28% | 77.41% | 8.74% | 67.78% | 96.38% | 0.065 | 76 | | WNet (Group) (Ours) | 78.08% | 80.66% | 2.19% | 75.67% | 98.61% | 0.016 | 25 | | WNet (Total) | 75.77% | 80.65% | 2.61% | 71.43% | 98.33% | 0.014 | 25 |
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