Multimodal Sentiment Analysis on CMU-MOSEI (0.3, 0.5, 0.7) (test) benchmark leaderboard · SOTA2 Research

Multimodal Sentiment Analysis on CMU-MOSEI (0.3, 0.5, 0.7) (test)

84.76AccuracyMMGCN

Evaluation Results

Method	Links
MMGCN2026.03		84.76	84.6
MMGCN+BALM2026.03		84.54	84.34
MMDFN+BALM2026.03		84.34	84.14
MMDFN2026.03		84.18	83.92
Ada2I2026.03		83.82	83.57
SDR-GNN2026.03		83.35	83.03
GCNet+BALM2026.03		83.27	83.24
GCNet2026.03		82.64	82.78
Mi-CGA2026.03		82.55	82.37
Ada2I2026.03		82.42	82.28
MMDFN2026.03		82.17	81.76
MoMKE2026.03		82.17	81.86
MMDFN+BALM2026.03		82.06	81.73
MMGCN+BALM2026.03		82.03	81.74
GCNet+BALM2026.03		81.54	81.4
GCNet2026.03		81.43	81.07
Mi-CGA2026.03		81.04	80.97
MMGCN2026.03		80.82	80.2
SDR-GNN2026.03		80.13	80.14
MMIN2026.03		79.72	79.69
MoMKE2026.03		78.43	78.39
MMIN2026.03		75.87	75.52
RedCore2026.03		75.05	72.82
RedCore2026.03		74.88	72.89