Table 5 Category-wise classification accuracy (%) of DMCE-Net with different backbone networks on the UMD dataset
Category | DMCE-Net with AlexNet | DMCE-Net with VGG-VD16 | DMCE-Net with VGG-VD19 |
|---|---|---|---|
1 | 97.50 ± 0.05 | 100.00 ± 0.00 | 100.00 ± 0.00 |
2 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
3 | 97.75 ± 0.05 | 99.75 ± 0.02 | 96.75 ± 0.06 |
4 | 100.00 ± 0.00 | 98.75 ± 0.04 | 100.00 ± 0.00 |
5 | 99.75 ± 0.02 | 99.75 ± 0.02 | 100.00 ± 0.00 |
6 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
7 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
8 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
9 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
10 | 99.00 ± 0.05 | 99.00 ± 0.05 | 98.50 ± 0.06 |
11 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
12 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
13 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
14 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
15 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
16 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
17 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
18 | 98.50 ± 0.04 | 100.00 ± 0.00 | 100.00 ± 0.00 |
19 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
20 | 96.50 ± 0.07 | 100.00 ± 0.00 | 100.00 ± 0.00 |
21 | 97.75 ± 0.05 | 100.00 ± 0.00 | 100.00 ± 0.00 |
22 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
23 | 98.75 ± 0.04 | 100.00 ± 0.00 | 100.00 ± 0.00 |
24 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
25 | 98.75 ± 0.04 | 100.00 ± 0.00 | 100.00 ± 0.00 |
