Method	Backbone	IoU accuracy							mIoU (%)
Method	Backbone	Background	Building	Road	Water	Barren	Forest	Agriculture	mIoU (%)
FCN8S	VGG16	42.60	49.51	48.05	73.09	11.84	43.49	58.30	46.69
DeepLabV3+	ResNet50	42.97	50.88	52.02	74.36	10.40	44.21	58.53	47.62
PAN	ResNet50	43.04	51.34	50.93	74.77	10.03	42.19	57.65	47.13
UNet	ResNet50	43.06	52.74	52.78	73.08	10.33	43.05	59.87	47.84
UNet++	ResNet50	42.85	52.58	52.82	74.51	11.42	44.42	58.80	48.20
Semantic-FPN	ResNet50	42.93	51.53	53.43	74.67	11.21	44.62	58.68	48.15
PSPNet	ResNet50	44.40	52.13	53.52	76.50	9.73	44.07	57.85	48.31
LinkNet	ResNet50	43.61	52.07	52.53	76.85	12.16	45.05	57.25	48.50
FarSeg	ResNet50	43.09	51.48	53.85	76.61	9.78	43.33	58.90	48.15
FactSeg	ResNet50	42.60	53.63	52.79	76.94	16.20	42.92	57.50	48.94
AbHRNet	W40	45.33	57.16	56.86	76.64	17.81	43.61	60.60	51.14