基于U2⁃Net的金属表面缺陷检测算法
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王昱翔, 葛洪伟
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Metal surface defect detection algorithm based on U2⁃Net
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Yuxiang Wang, Hongwei Ge
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表1 本文方法同其他六种方法在KolektorSDD数据集上的性能比较
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Table 1 Performance of our method and six other methods on KolektorSDD dataset
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| Acc | P | R | F1⁃score | F2⁃score | MAE | MSE |
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本文方法 | 0.998 | 0.794 | 0.843 | 0.812 | 0.833 | 0.277 | 0.001 | U⁃Net | 0.977 | 0.682 | 0.789 | 0.732 | 0.850 | 10.81 | 50.63 | Att⁃Unet | 0.987 | 0.762 | 0.812 | 0.759 | 0.790 | 10.36 | 30.88 | U2⁃Net | 0.982 | 0.763 | 0.809 | 0.785 | 0.799 | 0.858 | 0.794 | Nested⁃UNet | 0.989 | 0.737 | 0.823 | 0.778 | 0.804 | 10.10 | 10.23 | Res⁃ Unet++ | 0.993 | 0.774 | 0.805 | 0.789 | 0.798 | 0.889 | 0.908 | R2U_Net | 0.992 | 0.761 | 0.813 | 0.786 | 0.802 | 10.01 | 10.28 |
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