Table 6 Performance comparison with existing semantic segmentation models. The bold font indicates the best values.
Model | Precision(%) | Recall(%) | MIoU(%) | Accuracy(%) | F1-score(%) |
|---|---|---|---|---|---|
DD-DA | 60.95 | 66.75 | 63.35 | 98.93 | 63.72 |
Res_AUNet | 51.00 | 54.71 | 53.74 | 98.94 | 52.79 |
Twins | 67.38 | 41.89 | 66.93 | 99.05 | 51.66 |
M-DeepLabV3+ | 59.07 | 58.54 | 70.32 | 99.01 | 58.80 |
V2-HRNet | 63.21 | 56.60 | 70.82 | 99.08 | 59.72 |
M-PSPNet | 46.21 | 41.18 | 63.28 | 98.71 | 43.55 |
VDP_UNet | 71.44 | 65.63 | 75.63 | 99.27 | 68.41 |