基于迁移学习的机械制图智能评阅方法
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高一聪,王彦坤,费少梅,林琼
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Intelligent proofreading method of engineering drawing based on transfer learning
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Yi-cong GAO,Yan-kun WANG,Shao-mei FEI,Qiong LIN
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表 1 4种模型无迁移学习和使用迁移学习的识别结果对比 |
Tab.1 Comparison of recognition results between non-transfer learning and transfer learning in four models |
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得分 点编号 | ntra | Acc/% | DenseNet121 (无迁移 学习) | VGG16 (使用迁 移学习) | ResNet18 (使用迁 移学习) | DenseNet121 (使用迁 移学习) | 1 | 80 | 81.11 | 95.56 | 94.44 | 94.44 | 150 | 88.10 | 95.56 | 97.78 | 97.78 | 2 | 80 | 77.78 | 90.85 | 89.63 | 91.64 | 150 | 81.25 | 97.48 | 93.71 | 98.11 | 3 | 80 | 75.00 | 82.89 | 76.32 | 84.21 | 150 | 75.68 | 83.67 | 86.49 | 89.19 | 4 | 80 | 94.32 | 95.45 | 93.18 | 97.73 | 150 | 95.83 | 95.83 | 97.22 | 98.61 | 5 | 80 | 88.89 | 95.15 | 96.12 | 95.15 | 150 | 93.07 | 97.03 | 97.03 | 97.03 | 6 | 80 | 91.21 | 96.04 | 94.06 | 98.90 | 150 | 97.80 | 100.00 | 100.00 | 100.00 | 7 | 80 | 82.91 | 91.45 | 90.60 | 94.02 | 150 | 84.42 | 98.29 | 97.44 | 97.44 |
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