Table 7.
ResNet-101 | ResNet-36 | AlexNet | VGG | Deep convolutional network | |
---|---|---|---|---|---|
Accuracy | 80.01 | 82.86 | 76.75 | 89.35 | 95.55 |
ACU | 0.8110 | 0.8912 | 0.750 | 0.8745 | 0.9875 |
Elapsed time | 1075 | 880 | 1290 | 1708 | 725 |
ResNet-101 | ResNet-36 | AlexNet | VGG | Deep convolutional network | |
---|---|---|---|---|---|
Accuracy | 80.01 | 82.86 | 76.75 | 89.35 | 95.55 |
ACU | 0.8110 | 0.8912 | 0.750 | 0.8745 | 0.9875 |
Elapsed time | 1075 | 880 | 1290 | 1708 | 725 |