模型 | Accuracy /% | Precision /% | Recall /% | F1 /% | 参数量 /M | FLOPs /G |
AlexNet | 86.09 | 82.48 | 80.03 | 81.00 | 14.58 | 0.311 |
GoogleNet | 85.09 | 81.67 | 82.04 | 81.42 | 5.97 | 1.59 |
VGG16 | 84.76 | 83.24 | 78.26 | 80.46 | 134.27 | 15.5 |
ResNet18 | 88.11 | 84.02 | 86.10 | 84.71 | 11.69 | 1.824 |
ResNet50 | 88.07 | 86.24 | 83.43 | 84.72 | 23.51 | 4.12 |
MobileNetV3 | 88.41 | 85.92 | 85.62 | 85.76 | 4.21 | 0.233 |
MobileNetV2 | 88.74 | 85.18 | 86.05 | 85.49 | 2.25 | 0.326 |
ShuffleNetV2 | 87.41 | 85.23 | 85.30 | 84.89 | 2.48 | 0.305 |
CIH-MobileNetV2 | 91.05 | 89.04 | 89.51 | 89.18 | 1.27 | 0.238 |