Table 4 Category-wise classification accuracy (%) of DMCE-Net with different backbone networks on the UIUC dataset
Category | DMCE-Net with AlexNet | DMCE-Net with VGG-VD16 | DMCE-Net with VGG-VD19 |
|---|---|---|---|
1 | 95.50 ± 0.07 | 100.00 ± 0.00 | 100.00 ± 0.00 |
2 | 97.25 ± 0.05 | 98.50 ± 0.04 | 99.00 ± 0.03 |
3 | 93.00 ± 0.09 | 100.00 ± 0.00 | 99.50 ± 0.02 |
4 | 99.75 ± 0.01 | 100.00 ± 0.00 | 100.00 ± 0.00 |
5 | 94.50 ± 0.08 | 100.00 ± 0.00 | 100.00 ± 0.00 |
6 | 90.25 ± 0.11 | 96.50 ± 0.06 | 97.75 ± 0.05 |
7 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
8 | 95.75 ± 0.06 | 100.00 ± 0.00 | 100.00 ± 0.00 |
9 | 94.50 ± 0.07 | 100.00 ± 0.00 | 100.00 ± 0.00 |
10 | 97.00 ± 0.05 | 99.75 ± 0.02 | 97.50 ± 0.05 |
11 | 97.75 ± 0.07 | 100.00 ± 0.00 | 99.50 ± 0.02 |
12 | 95.50 ± 0.07 | 98.25 ± 0.04 | 100.00 ± 0.00 |
13 | 98.25 ± 0.04 | 99.50 ± 0.02 | 97.75 ± 0.05 |
14 | 93.00 ± 0.09 | 96.25 ± 0.06 | 99.00 ± 0.03 |
15 | 97.50 ± 0.05 | 100.00 ± 0.00 | 100.00 ± 0.00 |
16 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
17 | 99.00 ± 0.03 | 100.00 ± 0.00 | 99.75 ± 0.02 |
18 | 98.50 ± 0.04 | 99.50 ± 0.02 | 99.75 ± 0.02 |
19 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
20 | 99.50 ± 0.02 | 100.00 ± 0.00 | 100.00 ± 0.00 |
21 | 99.00 ± 0.04 | 99.00 ± 0.03 | 100.00 ± 0.00 |
22 | 97.25 ± 0.05 | 100.00 ± 0.00 | 100.00 ± 0.00 |
23 | 93.75 ± 0.10 | 99.50 ± 0.02 | 98.25 ± 0.05 |
24 | 97.50 ± 0.05 | 100.00 ± 0.00 | 99.75 ± 0.02 |
25 | 99.50 ± 0.02 | 100.00 ± 0.00 | 100.00 ± 0.00 |
