基于迁移学习的机械制图智能评阅方法
高一聪,王彦坤,费少梅,林琼

Intelligent proofreading method of engineering drawing based on transfer learning
Yi-cong GAO,Yan-kun WANG,Shao-mei FEI,Qiong LIN
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
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