Salient Object Detection on DUT-RGBD (test) benchmark leaderboard · SOTA2 Research

Salient Object Detection on DUT-RGBD (test)

0.926F-measure (Fbeta)DSA2F

Evaluation Results

Method	Links
DSA2F2021.03		0.926	0.95	0.921	0.03	—
ATSA2021.03		0.92	0.948	0.918	0.032	—
JL-DCF*2020.08		0.916	0.949	—	0.039	0.913
PGAR2021.03		0.913	0.944	0.919	0.035	—
CAS-GNN2021.03		0.912	0.932	0.891	0.043	—
JL-DCF2020.08		0.911	0.943	—	0.042	0.905
CoNet2021.03		0.908	0.941	0.918	0.034	—
CMMS2021.03		0.906	0.94	0.913	0.037	—
DMRA2020.08		0.898	0.933	—	0.048	0.889
A2dele2021.03		0.892	—	—	0.042	—
S2MA2021.03		0.886	0.921	0.903	0.043	—
DMRA2021.03		0.883	0.927	0.888	0.048	—
DANet2021.03		0.883	0.934	0.899	0.043	—
JL-DCF2021.03		0.882	0.931	0.906	0.043	—
CMWNet2021.03		0.865	0.916	0.887	0.056	—
HDFNet2021.03		0.865	0.938	0.905	0.04	—
CTMF2020.08		0.823	0.899	—	0.097	0.831
TANet2021.03		0.799	0.866	0.808	0.093	—
TANet2020.08		0.79	0.861	—	0.093	0.808
PCF2020.08		0.771	0.856	—	0.1	0.801
MMCI2020.08		0.767	0.859	—	0.113	0.791
CPFP2021.03		0.736	0.814	0.749	0.099	—
DF2020.08		0.734	0.819	—	0.145	0.73
CPFP2020.08		0.718	0.811	—	0.099	0.749