方法	CVC-ClinicDB						Kvasir-SEG
方法	Dice	IoU	MAE	$F_{β}^{ω}$	$S_{α}$	$E_{ϕ}^{\max}$	Dice	IoU	MAE	$F_{β}^{ω}$	$S_{α}$	$E_{ϕ}^{\max}$
U-Net	0.823	0.755	0.055	0.811	0.889	0.954	0.818	0.746	0.055	0.794	0.858	0.893
U-Net++	0.794	0.729	0.022	0.785	0.873	0.931	0.821	0.743	0.048	0.808	0.862	0.910
ResUNet++	0.796	0.796	-	-	-	-	0.813	0.793	-	-	-	-
SFA	0.700	0.607	0.042	0.647	0.793	0.885	0.723	0.611	0.075	0.670	0.782	0.849
PraNet	0.899	0.849	0.009	0.896	0.936	0.979	0.898	0.840	0.030	0.885	0.915	0.948
UACANet	0.916	0.870	0.008	0.917	0.940	0.965	0.905	0.852	0.026	0.897	0.914	0.948
SANet	0.916	0.859	0.012	0.909	0.939	0.971	0.904	0.847	0.028	0.892	0.915	0.949
MSNet	0.921	0.879	0.008	0.914	0.941	0.972	0.907	0.862	0.028	0.893	0.922	0.944
M²SNet	0.922	0.880	0.009	0.917	0.942	0.970	0.912	0.861	0.025	0.901	0.922	0.953
LDNet	0.923	0.872	-	-	-	-	0.912	0.855	-	-	-	-
Polyp-Mixer	0.908	0.856	-	0.902	0.943	0.963	0.916	0.864	-	0.908	0.932	0.959
CFA-Net	0.933	0.883	0.007	0.924	0.950	0.989	0.915	0.861	0.023	0.903	0.924	0.962
MMFIL-Net	0.890	0.838	0.008	0.883	0.922	0.974	0.909	0.858	0.026	0.904	0.915	0.950
Ours (S)	0.918	0.868	0.008	0.915	0.938	0.970	0.914	0.861	0.024	0.909	0.913	0.959
Ours (M)	0.932	0.884	0.007	0.933	0.944	0.987	0.914	0.862	0.022	0.907	0.921	0.955
Ours (L)	0.936	0.897	0.008	0.937	0.952	0.980	0.921	0.876	0.022	0.919	0.928	0.960