Facial Landmark Detection on 300W official (test) benchmark leaderboard · SOTA2 Research

Facial Landmark Detection on 300W official (test)

58.85AUC (0.08)LAB

Evaluation Results

Method	Links
LAB2019.04		58.85	—	—	—	0.83
JMFA2019.04		54.85	—	—	—	1
Chen et al.2019.04		53.64	3.96	—	—	2.5
Chen et al.2019.08		53.64	3.96	—	2.5	—
DCFE2019.04		52.42	3.88	—	—	1.83
DCFE2019.08		52.42	3.88	—	1.83	—
DReg + MDM2019.04		52.19	—	—	—	3.67
HRNetV22019.04		52.09	3.85	61.55	1	0.33
HRNetV2-W182019.08		52.09	3.85	61.55	1	0.33
Fan et al.2019.04		48.02	—	—	—	14.83
Deng et al.2019.04		47.52	—	—	—	5.5
DAN2019.04		47	4.3	—	—	2.67
DAN2019.08		47	4.3	—	2.67	—
MDM2019.04		45.32	4.78	—	—	6.8
MDM2019.08		45.32	4.78	—	6.8	—
CFSS2019.04		36.58	5.74	—	—	12.33
CFSS2019.08		36.58	5.74	—	12.33	—
SDM2019.04		36.27	5.83	—	—	13
SDM2019.08		36.27	5.83	—	13	—
Yan et al.2019.04		34.97	—	—	—	12.67
Yan et al.2019.08		34.97	—	—	12.67	—
CFAN2019.04		34.78	5.78	—	—	14
CFAN2019.08		34.78	5.78	—	14	—
Face++2019.04		32.81	—	—	—	13
Face++2019.08		32.81	—	—	13	—
ERT2019.04		27.01	8.41	—	—	28.83
ERT2019.08		27.01	8.41	—	28.83	—
ESR2019.04		26.09	8.47	—	—	30.5
ESR2019.08		26.09	8.47	—	30.5	—
LBF2019.04		25.27	8.57	—	—	33.67
LBF2019.08		25.27	8.57	—	33.67	—
Balt. et al.2019.08		19.55	—	—	38.83	—
Balt. et al.2019.04		—	19.55	—	—	38.83
Deng et al.2019.08		—	—	47.52	—	5.5
DReg + MDM2019.08		—	—	52.19	—	3.67
Fan et al.2019.08		—	—	48.02	—	14.83
JMFA2019.08		—	—	54.85	—	1
LAB2019.08		—	—	58.85	—	0.83