Sentiment Classification on CMU-MOSI (test)
81Weighted F1 ScoreMulT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MulTModalities=L+A+V2020.10 | 81 | — | |
| SA-Gating B6Modalities=L+A+V2020.10 | 81 | — | |
| VGMRBackbone=Transformer2026.06 | 80.19 | 80.76 | |
| MATModalities=L+A2020.10 | 80 | — | |
| MNTModalities=L+A2020.10 | 80 | — | |
| Multilogue-NetModalities=L+A+V2020.10 | 80 | — | |
| D&RBackbone=Transformer2026.06 | 79.9 | 80.17 | |
| OGM-GEBackbone=Concatenation2026.06 | 79.26 | 79.3 | |
| VGMRBackbone=Concatenation2026.06 | 79.11 | 79.45 | |
| AGMBackbone=Transformer2026.06 | 79.07 | 80.03 | |
| Multilogue-NetModalities=L+A2020.10 | 79 | — | |
| PMRBackbone=Transformer2026.06 | 78.84 | 79.01 | |
| ARLBackbone=Concatenation2026.06 | 78.69 | 78.86 | |
| MMParetoBackbone=Concatenation2026.06 | 78.39 | 78.43 | |
| MMParetoBackbone=Transformer2026.06 | 78.39 | 79.01 | |
| PMRBackbone=Concatenation2026.06 | 78.31 | 78.43 | |
| D&RBackbone=Concatenation2026.06 | 78.2 | 78.28 | |
| ARLBackbone=Transformer2026.06 | 78.19 | 78.43 | |
| Grad-BlendingBackbone=Transformer2026.06 | 78.18 | 78.86 | |
| Grad-BlendingBackbone=Concatenation2026.06 | 78.04 | 78.57 | |
| AGMBackbone=Concatenation2026.06 | 78.04 | 78.28 | |
| MLABackbone=Transformer2026.06 | 78.01 | 78.13 | |
| NTModalities=L+A2020.10 | 78 | — | |
| OGM-GEBackbone=Transformer2026.06 | 77.9 | 78.43 | |
| BaselineBackbone=Transformer2026.06 | 77.32 | 77.41 | |
| MLABackbone=Concatenation2026.06 | 77.12 | 77.26 | |
| PModalities=L+A2020.10 | 76 | — | |
| BaselineBackbone=Concatenation2026.06 | 75.07 | 75.07 |