Emotion Recognition on SEED-V (Balanced Accuracy, Cohen's Kappa, Weighted F1)
41.13Balanced AccuracyMTEEG-DC
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MTEEG-DC# Trainable Params=1.1M, Training Paradigm=Multi-task2026.04 | 41.13 | 0.2651 | 41.82 | |
| MTEEG-SP# Trainable Params=1.8M, Training Paradigm=Multi-task2026.04 | 41.12 | 0.2677 | 41.73 | |
| LaBraM# Trainable Params=5.8M, Training Paradigm=Single-task, Finetuning Strategy=Full2026.04 | 40.97 | 0.2616 | 41.19 | |
| MTEEG-RT# Trainable Params=1.8M, Training Paradigm=Multi-task2026.04 | 40.89 | 0.2627 | 41.53 | |
| HPS# Trainable Params=6.0M, Training Paradigm=Multi-task2026.04 | 40.57 | 0.2614 | 41.08 | |
| LaBraM# Trainable Params=0.3M, Training Paradigm=Single-task, Finetuning Strategy=LoRA2026.04 | 40.56 | 0.2564 | 41.07 | |
| SL-S4Wave2026.06 | 40.33 | 25.79 | 41.2 | |
| LaBraM2026.06 | 39.76 | 23.86 | 39.74 | |
| BIOT2026.06 | 38.37 | 22.61 | 38.56 | |
| BIOT# Trainable Params=3.2M, Training Paradigm=Single-task2026.04 | 38.31 | 0.2238 | 38.31 | |
| FFCL# Trainable Params=2.4M, Training Paradigm=Single-task2026.04 | 37.14 | 0.2152 | 37.5 | |
| ContraWR# Trainable Params=1.6M, Training Paradigm=Single-task2026.04 | 36.81 | 0.2099 | 36.82 | |
| EEGPT2026.06 | 30.61 | 13.23 | 30.9 | |
| CNN-Transformer# Trainable Params=3.2M, Training Paradigm=Single-task2026.04 | 30.36 | 0.1367 | 28.13 | |
| SPaRCNet# Trainable Params=0.79M, Training Paradigm=Single-task2026.04 | 28.65 | 0.1115 | 29.66 | |
| ST-Transformer# Trainable Params=3.5M, Training Paradigm=Single-task2026.04 | 28.28 | 0.1182 | 27.4 | |
| BENDR2026.06 | 22.31 | 3.35 | 20.26 |