MRBENet: A Multiresolution Boundary Enhancement Network for Salient Object Detection

Table 3

Quantitative comparison of MaxF, MAE and S-measure over six widely used datasets. ↑ means bigger is better, ↓ means smaller is better. Red and blue represent the best and second best results, respectively. “-R” indicates that backbone network is Resnet.

	DUTS-TE			DUT-O			SOD			ECSSD			PASCAL-S			HKU-IS
	MAE↓	MaxF↑	S↑	MAE↓	MaxF↑	S↑	MAE↓	MaxF↑	S↑	MAE↓	MaxF↑	S↑	MAE↓	MaxF↑	S↑	MAE↓	MaxF↑	S↑
AFNet(19)	0.045	0.857	0.866	0.057	0.787	0.823	0.108	0.851	0.779	0.042	0.935	0.914	0.070	0.863	0.849	0.036	0.923	0.905
BMPM(18)	0.048	0.847	0.861	0.063	0.765	0.807	0.106	0.852	0.790	0.045	0.929	0.911	0.074	0.850	0.844	0.039	0.921	0.906
EGNet(19)	0.043	0.871	0.877	0.056	0.798	0.832	0.110	0.859	0.787	0.041	0.943	0.919	0.077	0.859	0.847	0.034	0.930	0.911
PoolNet(19)	0.041	0.870	0.878	0.056	0.796	0.830	0.105	0.866	0.797	0.042	0.942	0.917	0.072	0.865	0.852	0.033	0.931	0.911
Picanet(18)	0.053	0.847	0.858	0.067	0.788	0.819	0.102	0.850	0.789	0.047	0.931	0.913	0.078	0.856	0.847	0.042	0.921	0.905
RAS(19)	0.059	0.827	0.839	0.062	0.778	0.813	0.123	0.847	0.767	0.056	0.921	0.893	0.101	0.829	0.799	0.045	0.913	0.887
MINet(20)	0.040	0.871	0.874	0.057	0.784	0.819	—	—	—	0.037	0.944	0.919	0.065	0.865	0.854	0.032	0.930	0.911
U2Net(20)	0.044	0.867	0.873	0.054	0.812	0.844	0.106	0.859	0.789	0.033	0.951	0.928	0.074	0.859	0.844	0.031	0.935	0.916
ASNet(20)	—	—	—	—	—	—	0.105	0.857	0.799	0.047	0.932	0.915	0.070	0.867	0.860	0.041	0.923	0.906
CPD-R(19)	0.043	0.861	0.869	0.056	0.790	0.823	0.110	0.857	0.771	0.037	0.939	0.918	0.071	0.860	0.848	0.034	0.925	0.905
BASNet-R(19)	0.047	0.855	0.865	0.057	0.796	0.833	0.112	0.849	0.772	0.037	0.943	0.916	0.076	0.854	0.838	0.032	0.928	0.908
Gatenet-R(20)	0.040	0.882	0.884	0.055	0.807	0.835	0.099	0.873	0.801	0.041	0.945	0.920	0.068	0.869	0.857	0.034	0.934	0.915
MSFNet(21)	0.039	0.866	0.870	0.056	0.790	0.821	—	—	—	0.036	0.937	0.913	0.067	0.858	0.852	0.029	0.936	0.905
CII-R(21)	0.042	0.878	0.874	0.058	0.824	0.828	—	—	—	0.039	0.941	0.916	0.068	0.868	0.851	0.032	0.933	0.912
ICON(22)	0.042	0.883	0.874	0.064	0.817	0.826	0.089	0.872	0.806	0.037	0.945	0.915	0.064	0.878	0.855	0.032	0.936	0.908
DNA-R(21)	0.040	0.869	0.872	0.056	0.796	0.824	0.110	0.855	0.783	0.036	0.944	0.919	0.074	0.855	0.837	0.029	0.934	0.913
MRBENet	0.040	0.878	0.881	0.054	0.806	0.835	0.103	0.866	0.791	0.037	0.945	0.922	0.067	0.872	0.857	0.032	0.933	0.913
MRBENet-R	0.037	0.882	0.887	0.052	0.806	0.837	0.097	0.870	0.802	0.036	0.945	0.923	0.064	0.876	0.861	0.030	0.935	0.918