Valence-Arousal Estimation on AffectNet (test) benchmark leaderboard · SOTA2 Research

Valence-Arousal Estimation on AffectNet (test)

0.78Valence PCCEMOCA

Evaluation Results

Method	Links
EMOCA2022.04		0.78	0.77	0.31	0.81	0.69	0.68	0.3	0.81
EMOCA2022.04		0.77	0.76	0.31	0.81	0.7	0.69	0.29	0.83
EmoNet2022.04		0.75	0.73	0.32	0.8	0.68	0.65	0.29	0.78
Deep3DFace2022.04		0.75	0.73	0.33	0.8	0.66	0.65	0.31	0.78
MGCNet2022.04		0.71	0.69	0.35	0.8	0.59	0.58	0.34	0.77
DECA2022.04		0.7	0.69	0.36	0.76	0.59	0.58	0.33	0.74
DECA2022.04		0.7	0.69	0.37	0.77	0.59	0.57	0.33	0.77
3DDFA_V22022.04		0.63	0.62	0.39	0.75	0.53	0.5	0.34	0.73
ExpNet2022.04		0.45	0.42	0.43	0.73	0.39	0.36	0.38	0.64