Multimodal Sentiment Analysis on MOSI 2016 (test)
49.27Accuracy (7-class)MODS
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| MODS2025.11 | 49.27 | 0.688 | 0.798 | 83.53 | 85.83 | 83.75 | 85.96 | |
| DTNsource=reproduced from open-source codebase2025.11 | 47.5 | 0.716 | 0.79 | — | 85.1 | — | 85.1 | |
| MSG2025.11 | 47.3 | 0.748 | 0.782 | — | 85.6 | — | 85.6 | |
| PriSAsource=reproduced from open-source codebase2025.11 | 47.1 | 0.719 | 0.782 | 83.3 | 85.4 | 83.1 | 85.4 | |
| Self-MMsource=results from (Mao et al. 2022)2025.11 | 46.67 | 0.708 | 0.796 | 83.44 | 85.46 | 83.36 | 85.43 | |
| MMIMsource=reproduced from open-source codebase2025.11 | 46.64 | 0.718 | 0.797 | 83.38 | 85.82 | 83.29 | 85.81 | |
| MIMsource=reproduced from open-source codebase2025.11 | 46.4 | 0.718 | 0.792 | — | 84.8 | — | 84.8 | |
| DMDsource=reproduced from open-source codebase2025.11 | 43.9 | — | — | — | 84.9 | — | 85 | |
| MISAsource=results from (Mao et al. 2022)2025.11 | 41.37 | 0.776 | 0.778 | 81.84 | 83.54 | 81.82 | 83.58 | |
| ICCN2025.11 | 39 | 0.862 | 0.714 | — | 83 | — | 83 | |
| MulTsource=results from (Mao et al. 2022)2025.11 | 36.91 | 0.879 | 0.702 | 79.71 | 80.98 | 79.63 | 80.95 | |
| TFNsource=results from (Mao et al. 2022)2025.11 | 34.46 | 0.947 | 0.673 | 77.99 | 79.08 | 77.95 | 79.11 | |
| LMFsource=results from (Mao et al. 2022)2025.11 | 33.82 | 0.95 | 0.651 | 77.9 | 79.18 | 77.8 | 79.15 |