Multimodal Sentiment Analysis on CMU-MOSI segments (test) benchmark leaderboard · SOTA2 Research

Multimodal Sentiment Analysis on CMU-MOSI segments (test)

86.5ACC2TSDA

Evaluation Results

Method	Links
TSDA2026.01		86.5	0.68	48.5	86.5
TSDA2026.01		86.3	0.695	48.6	86.2
MMIN2026.01		85.5	0.741	—	85.51
EMOE2026.01		85.4	0.71	47.7	85.4
EMOE2026.01		85.4	0.697	47.8	85.3
DLF2026.01		85.1	0.731	47.1	85.1
Self-MM2026.01		84.9	0.738	45.3	84.9
FDMER2026.01		84.6	0.725	44.2	84.7
DEVA2026.01		84.4	0.73	46.3	84.5
MISA2026.01		84.2	0.754	41.8	84.2
ConFEDE2026.01		84.2	0.742	46.3	84.2
DMD2026.01		84	0.721	46.7	84
MISA2026.01		83.8	0.742	43.6	83.9
MMIN2026.01		83.5	—	—	83.5
Self-MM2026.01		83.4	0.724	45.7	83.6
DMD2026.01		83.2	0.721	46.2	83.2
MuLT2026.01		80.3	0.933	33.2	80.3
MuLT2026.01		80	0.936	35.1	80.1
LMF2026.01		79.1	0.963	31.1	79.1
TFN2026.01		78.8	0.953	31.9	78.9
LMF2026.01		78.7	0.931	36.9	78.7
TFN2026.01		76.5	0.995	35.3	76.6