Emotion Recognition on SEED-V
41.97AccuracyCSBrain
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CSBrainModel Category=Foundation Models, # Params=18.3 M2026.03 | 41.97 | — | — | 42.8 | |
| Full dataη (%)=1002025.12 | 41 | 26.1 | 41.2 | — | |
| CBramodModel Category=Foundation Models, # Params=14.3 M2026.03 | 40.91 | — | — | 41.01 | |
| SpecMoEModel Category=Foundation Models, # Params=4.3 M2026.03 | 40.33 | — | — | 41.42 | |
| LaBraMModel Category=Foundation Models, # Params=5.8 M2026.03 | 39.76 | — | — | 39.74 | |
| EEG-DLiteη (%)=252025.12 | 39.7 | 24.7 | 40.1 | — | |
| Randomη (%)=252025.12 | 39.1 | 23.9 | 39.4 | — | |
| EEG-DLiteη (%)=102025.12 | 39.1 | 23.9 | 39.5 | — | |
| PCA + DSη (%)=252025.12 | 38.6 | 23.5 | 39 | — | |
| EEG-DLiteη (%)=52025.12 | 38.6 | 23.1 | 38.9 | — | |
| Randomη (%)=102025.12 | 37.9 | 22.4 | 38.3 | — | |
| FFCLModel Category=Task-Specific Models, # Params=—2026.03 | 36.41 | — | — | 36.45 | |
| PCA + DSη (%)=102025.12 | 36.3 | 20.1 | 36.5 | — | |
| EEGConfModel Category=Task-Specific Models, # Params=—2026.03 | 35.37 | — | — | 34.87 | |
| Randomη (%)=52025.12 | 34.6 | 18.3 | 34.9 | — | |
| PCA + DSη (%)=52025.12 | 31 | 13.4 | 31.2 | — | |
| EEG-DLiteη (%)=12025.12 | 29.7 | 11.3 | 29.7 | — | |
| EEGNetModel Category=Task-Specific Models, # Params=—2026.03 | 29.61 | — | — | 27.49 | |
| M3Dη (%)=52025.12 | 26.9 | 7.9 | 26.9 | — | |
| Randomη (%)=12025.12 | 26.5 | 7.4 | 26.6 | — | |
| M3Dη (%)=102025.12 | 24.5 | 4.9 | 24.3 | — | |
| M3Dη (%)=12025.12 | 23.4 | 3.2 | 22.7 | — | |
| PCA + DSη (%)=12025.12 | 22.6 | 2.2 | 22.2 | — |