Multimodal Regression on CMU-MOSEI benchmark leaderboard · SOTA2 Research

Multimodal Regression on CMU-MOSEI

56.37-Class AccuracyUDML

Evaluation Results

Method	Links
UDML2026.03		56.3	88	0.832
LDDU2026.03		55.2	87.1	0.821
ConFEDE2026.03		54.9	85.8	0.78
EAU2026.03		54.8	86.9	0.816
DMD2026.03		54.5	86.6	—
MIB2026.03		54.1	86.2	0.79
DiCMoR2026.03		53.4	85.1	—
HMA2026.03		52.8	85.4	0.787
MIM2026.03		52.5	86.3	0.792
GCNet2026.03		51.5	85.2	—