Table 1.

Comparison of segmentation results of different models.

Methods	IoU per class (%)				mIoU	mPA	Parame	Flops
	K. obovata	A. corniculatum	B. gymnorhiza	R. stylosa	(%)	(%)	ters(M)	(G)
FCN17	62.81	75.66	88.36	88.91	78.94	87.88	47.23	15.96
U-Net18	72.65	75.55	84.74	88.58	80.38	90.24	28.99	50.94
DeepLab v322	73.45	74.41	82.79	87.80	79.61	88.85	65.85	20.46
DeepLab v3+21	79.77	85.73	89.86	91.99	86.84	87.72	41.32	16.40
Swin-T39	87.30	91.05	92.69	93.84	91.22	95.70	59.02	60.28
UperNet23	78.44	86.89	90.85	91.37	86.89	93.11	64.05	59.32
HrNet41	81.91	84.73	90.82	91.88	87.33	93.95	65.85	38.69
Ours-ResNet	86.91	91.55	92.95	94.32	91.43	95.62	30.41	17.70
Ours-ConvNext	88.27	93.02	93.37	94.18	92.21	95.98	33.63	11.70