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Face Parsing on Helen (test)

0.909Eyes Accuracy

DML-CSR

Updated 4d ago

Evaluation Results

Method	Links
DML-CSR 2022.03		0.909	0.885	0.955	0.912	0.876	0.912	0.959	-	0.966	-	-	0.938
Te et al. 2021.01		0.902	0.849	0.961	0.898	0.836	0.91	0.955	-	0.946	-	0.932	-
Te et al. [36] 2022.03		0.902	0.849	0.961	0.898	0.836	0.91	0.955	-	0.946	-	-	0.932
AGRNet 2021.01		0.901	0.85	0.959	0.9	0.832	0.909	0.962	-	0.951	-	0.932	-
Liu et al. 2021.01		0.898	0.835	0.958	0.891	0.837	0.914	0.961	-	0.949	-	0.931	-
Liu et al. [21] 2022.03		0.898	0.835	0.958	0.891	0.837	0.914	0.961	-	0.949	-	-	0.931
Lin et al. 2021.02		0.896	0.831	0.956	0.867	0.796	0.898	0.95	0.924	0.945	83.5	88.6	-
Lin et al. 2021.01		0.896	0.831	0.956	0.867	0.796	0.898	0.95	-	0.945	-	0.927	-
Lin et al. [17] 2022.03		0.896	0.831	0.956	0.867	0.796	0.898	0.95	-	0.945	-	-	0.924
Yin et al. 2021.01		0.895	0.848	0.963	0.856	0.824	0.866	0.928	-	-	-	0.91	-
RTNet 2021.02		0.893	0.849	0.949	0.899	0.941	0.909	0.956	0.927	0.962	90.6	91.8	-
Wei et al. 2021.02		0.89	0.826	0.952	0.867	0.8	0.864	0.936	0.915	0.915	-	-	-
Wei et al. 2021.01		0.89	0.826	0.952	0.867	0.8	0.864	0.936	-	0.956	-	0.917	-
Wei et al. [46] 2022.03		0.89	0.826	0.952	0.867	0.8	0.864	0.936	-	0.956	-	-	0.916
Zhou et al. 2021.02		0.874	0.813	0.95	0.836	0.754	0.809	0.926	0.873	-	-	-	-
Liu et al. 2021.02		0.868	0.77	0.93	0.792	0.743	0.817	0.891	0.886	0.921	-	-	-
Liu et al. 2021.01		0.868	0.77	0.93	0.792	0.743	0.817	0.891	-	0.921	-	0.886	-
Liu et al. [19] 2022.03		0.868	0.77	0.93	0.792	0.743	0.817	0.891	-	0.921	-	-	0.886
Wei et al. 2021.02		0.847	0.786	0.937	-	-	-	0.915	0.902	0.915	-	-	-
Guo et al. [7] 2022.03		0.804	0.871	0.941	0.837	0.758	0.831	0.924	-	0.938	-	-	0.905
Smith et al. 2021.02		0.785	0.722	0.922	0.713	0.651	0.7	0.857	0.804	0.882	-	-	-
Liu et al. 2021.02		0.768	0.713	0.909	0.808	0.623	0.694	0.841	0.847	0.91	-	-	-