Table 3 The comparison of Validation accuracy of seven models with L2 and L2M
From: L2MXception: an improved Xception network for classification of peach diseases
Network | Validation accuracy(L2) (%) | Validation accuracy (L2M) (%) | Change |
|---|---|---|---|
AlexNet | 56.31 | 57.31 | 1.00% (+) |
ResNet50 | 78.64 | 79.34 | 0.7% (+) |
Xception | 92.23 | 93.85 | 1.62% (+) |
SENet154 | 62.14 | 62.84 | 0.7% (+) |
DenseNet169 | 82.90 | 80.58 | 2.32% (−) |
HRNet-w48 | 78.13 | 78.00 | 0.13% (−) |
MobileNetV3 | 65.69 | 66.01 | 0.32% (+) |