SEED
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multimodal Understanding | SEED | Accuracy82.6 | 216 | |
| Emotion Recognition | SEED-IV Session 2 → Session 3 | Accuracy100 | 198 | |
| Emotion Recognition | SEED-IV Session 1 → Session 3 | Accuracy97.69 | 198 | |
| Emotion Recognition | SEED-IV Session 1 → Session 2 | Accuracy100 | 134 | |
| Multimodal Understanding | SEED-2-Plus | Accuracy81.1 | 110 | |
| Multimodal Understanding | SEED-I Image | Accuracy0.822 | 75 | |
| Emotion Recognition | SEED Session 1 → Session 2 | Accuracy100 | 70 | |
| EEG Emotion Recognition | SEED | Accuracy96.55 | 56 | |
| Emotion Recognition | SEED, SEED-IV, and SEED-V | Transfer Accuracy (SEED → SEED-IV)57.4 | 44 | |
| Multimodal Understanding | SEED | SEED Score78.1 | 35 | |
| EEG emotion recognition | SEED Subject-independent | Accuracy90.92 | 34 | |
| EEG classification | SEED | AUPRC74.25 | 32 | |
| Emotion Recognition | SEED-V (LOSO) | Accuracy62.77 | 32 | |
| Emotion Recognition | SEED (cross-subject cross-session) | Accuracy93.18 | 30 | |
| Multi-modal Understanding | SEED-IMG | Accuracy78.46 | 29 | |
| Emotion Recognition | SEED IV V | Accuracy (SEED -> SEED-IV)56.29 | 28 | |
| EEG emotion recognition | SEED-IV (Subject-independent) | Accuracy79.3 | 28 | |
| Multimodal Understanding | SEED-IMG | Accuracy71.9 | 27 | |
| Emotion Recognition | SEED cross-subject | Accuracy94.53 | 26 | |
| Balanced classification | SEED | Accuracy (Benign)62.61 | 26 | |
| EEG emotion recognition | SEED (subject-dependent) | Accuracy97.42 | 25 | |
| Emotion Recognition | SEED v1 (cross-subject) | Cohen's κ49.6 | 24 | |
| EEG Super-Resolution | SEED 62 ch. | NMSE0.1545 | 24 | |
| Multimodal Understanding | SEED-2-Plus 1.0 | Score72 | 24 | |
| Text-to-Speech | Seed ZH | CER0.87 | 23 |
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