Multimodal emotion recognition on MER-UniBench (official)
83.5Mean AccuracyMER-R1
Evaluation Results
| Method | Links | |
|---|---|---|
| MER-R12026.06 | 83.5 | |
| AffectGPT-R12026.06 | 79.98 | |
| Baseline2026.06 | 77.87 | |
| AffectGPT-R1Reproduced=true2026.06 | 75.6 | |
| AffectGPT2026.06 | 74.77 | |
| AffectGPTReproduced=true2026.06 | 71.96 | |
| Emotion-LLaMA2026.06 | 64.17 | |
| mPLUG-Owl2026.06 | 62.45 | |
| R1-Omni2026.06 | 59.61 | |
| Chat-UniVi2026.06 | 57.94 | |
| SALMONN2026.06 | 57.89 | |
| LLaMA-VID2026.06 | 56.07 | |
| PandaGPT2026.06 | 52.92 | |
| VideoChat22026.06 | 52.67 | |
| Qwen-Audio2026.06 | 49.26 |