Emotion Recognition on AffectNet v1 (test) benchmark leaderboard · SOTA2 Research

Emotion Recognition on AffectNet v1 (test)

0.77Valence CCCEMOCA v1

Evaluation Results

Method	Links
EMOCA v12024.04		0.77	0.31	0.68	0.3	68
EMOCA v22024.04		0.76	0.33	0.66	0.3	66
Deep3DFace2024.04		0.73	0.33	0.65	0.31	65
SMIRK2024.04		0.72	0.35	0.61	0.31	64
SMIRK2024.04		0.71	0.35	0.6	0.32	62
MGCNet2024.04		0.69	0.35	0.58	0.34	60
DECA2024.04		0.69	0.36	0.58	0.33	59
FOCUS2024.04		0.69	0.35	0.54	0.33	58
3DDFA-v22024.04		0.62	0.39	0.5	0.34	52