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