Open Access
Table 6
The recognition effect is significantly different using the same convolutional neural network and different feature extraction methods. All values are in %.
| Algorithm | ResNet | PLG | Mobile FaceNet |
FES |
|---|---|---|---|---|
| ToyCar | 92.55/81.47 | 90.12/76.19 | 85.92/80.59 | 98.30/93.55 |
| ToyConveyor | 88.68/71.20 | 85.62/65.02 | 92.17/80.88 | 89.02/73.89 |
| Fan | 92.28/86.74 | 92.00/74.62 | 94.58/92.84 | 94.12/88.23 |
| Pump | 91.15/86.65 | 89.24/76.74 | 90.05/76.55 | 98.11/93.76 |
| Slider | 85.06/70.21 | 93.42/86.61 | 93.56/88.51 | 98.24/94.97 |
| Valve | 87.28/79.35 | 95.34/75.72 | 73.77/66.26 | 98.95/92.43 |
| Average | 89.50/79.27 | 90.96/75.82 | 88.34/80.94 | 96.12/89.47 |
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