Table 4.
Model | Classifiers | Accuracy (%) |
---|---|---|
SqueezeNetV1 | (Softmax) | 88.4 |
SqueezeNetV1 | SVM | 93.7 |
SqueezeNetV1 | RF | 87.3 |
SqueezeNetV1 | MLP | 90.2 |
SqueezeNetV1 | KNN | 89.8 |
ShufflenetV1 | (Softmax) | 86.5 |
ShufflenetV1 | SVM | 92.3 |
ShufflenetV1 | RF | 89.4 |
ShufflenetV1 | MLP | 90.6 |
ShufflenetV1 | KNN | 91.4 |
HDM-NET(ours) | SVM | 94.8 |