Emotion Recognition on FACED 9-Class
69.48Balanced Accuracy10-ckpt ensemble (SOTA)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| 10-ckpt ensemble (SOTA)Ensemble Size (checkpoints)=102026.05 | 69.48 | — | — | |
| 5-seed e100 ensembleEnsemble Size (seeds)=5, Training length (e)=1002026.05 | 67.98 | — | — | |
| Best single (val-sel)Validation Selection Protocol (val-sel)=true2026.05 | 67.55 | — | — | |
| EMOD+aug+KD+d=6 (5-seed)Model Depth (d)=6, Ensemble Size (seeds)=5, Data Augmentation=true, Knowledge Distillation=true2026.05 | 65.8 | — | — | |
| + depth doubling (d=6)Model Depth (d)=62026.05 | 65.8 | — | — | |
| + longer training (e=150)Training length (e)=1502026.05 | 65.8 | — | — | |
| + aug + KDData Augmentation=true, Knowledge Distillation=true2026.05 | 64.4 | — | — | |
| + augmentationData Augmentation=true2026.05 | 63.4 | — | — | |
| EMOD2026.05 | 62.87 | — | — | |
| EmotionKD2026.05 | 62.8 | — | — | |
| EMOD (d=3) replicationModel Depth (d)=32026.05 | 61.9 | — | — | |
| CBraMod2026.05 | 57.2 | — | — | |
| CBraMod#Params=15M/133M2025.11 | 56.49 | 0.5081 | 57.01 | |
| NeuroOnline***Backbone=LaBraM, Training Setting=online2026.07 | 56.06 | 50.1 | 55.92 | |
| NeuroOnline.aBackbone=LaBraM, Training Setting=online2026.07 | 54.95 | 48.97 | 55.04 | |
| NeuroOnline***Backbone=CBraMod, Training Setting=online2026.07 | 54.03 | 47.78 | 53.76 | |
| NeuroOnline.aBackbone=CBraMod, Training Setting=online2026.07 | 53.71 | 47.48 | 53.56 | |
| off-FT-MLPBackbone=LaBraM, Training Setting=offline, Protocol=Full-FT, Head=MLP2026.07 | 53.64 | 47.75 | 54.21 | |
| off-FT-MLPBackbone=CBraMod, Training Setting=offline, Protocol=Full-FT, Head=MLP2026.07 | 52.9 | 46.67 | 52.9 | |
| LaBraM#Params=5.8M2025.11 | 52.73 | 0.4698 | 52.88 | |
| off-LoRA-MLPBackbone=CBraMod, Training Setting=offline, Protocol=LoRA, Head=MLP2026.07 | 52.67 | 46.29 | 52.09 | |
| ST-Transformer#Params=3.5M2025.11 | 48.1 | 0.4137 | 47.95 | |
| off-LoRA-MLPBackbone=LaBraM, Training Setting=offline, Protocol=LoRA, Head=MLP2026.07 | 46.27 | 39.34 | 46.4 | |
| EEG Conformer#Params=0.55M2025.11 | 45.59 | 0.3858 | 45.14 | |
| off-FT-LINBackbone=LaBraM, Training Setting=offline, Protocol=Full-FT, Head=Linear2026.07 | 42.52 | 35.04 | 42.28 | |
| off-FT-LINBackbone=CBraMod, Training Setting=offline, Protocol=Full-FT, Head=Linear2026.07 | 42.15 | 34.56 | 41.89 | |
| off-LoRA-LINBackbone=CBraMod, Training Setting=offline, Protocol=LoRA, Head=Linear2026.07 | 41.16 | 33.55 | 41.07 | |
| off-LoRA-LINBackbone=LaBraM, Training Setting=offline, Protocol=LoRA, Head=Linear2026.07 | 37.49 | 29.32 | 36.95 | |
| STAMP#Params=0.75M/0.76M2025.11 | 36.06 | 0.2783 | 35.78 |