SEED
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Emotion Recognition | SEED-IV Session 2 → Session 3 | Accuracy100 | 198 | |
| Emotion Recognition | SEED-IV Session 1 → Session 3 | Accuracy97.69 | 198 | |
| Multimodal Understanding | SEED | Accuracy82.6 | 136 | |
| Emotion Recognition | SEED-IV Session 1 → Session 2 | Accuracy100 | 134 | |
| Multimodal Understanding | SEED-2-Plus | Accuracy81.1 | 99 | |
| Emotion Recognition | SEED Session 1 → Session 2 | Accuracy100 | 70 | |
| Multimodal Understanding | SEED-I Image | Accuracy0.822 | 40 | |
| EEG Emotion Recognition | SEED | Accuracy96.03 | 34 | |
| EEG classification | SEED | AUPRC74.25 | 32 | |
| EEG emotion recognition | SEED-IV (Subject-independent) | Accuracy79.3 | 28 | |
| EEG emotion recognition | SEED Subject-independent | Accuracy90.92 | 28 | |
| Multimodal Understanding | SEED | SEED Score78.1 | 27 | |
| Multimodal Understanding | SEED-2-Plus 1.0 | Score72 | 24 | |
| Visual Question Answering | SEED | Overall Score77.1 | 22 | |
| EEG-based Emotion Recognition | SEED | Acc (Best Session)91.97 | 21 | |
| EEG emotion recognition | SEED (subject-dependent) | Accuracy94.24 | 20 | |
| Multimodal Understanding | SEED-I | Accuracy77.2 | 19 | |
| Text-to-Speech | Seed-zh (test) | CER0.81 | 17 | |
| Image-centric Multimodal Understanding | SEED-I | Score76.3 | 16 | |
| Text-to-Speech | Seed-en (test) | WER1.31 | 16 | |
| Emotion Recognition | SEED-V | Accuracy41 | 16 | |
| Emotion Recognition | SEED-V (LOSO) | Accuracy62.77 | 15 | |
| Multimodal Evaluation | SEED Image | Accuracy77.1 | 15 | |
| EEG Emotion Recognition | SEED V (subject-independent) | Accuracy78.34 | 15 | |
| EEG-based Emotion Recognition | SEED-IV | Accuracy (Best Session)0.7799 | 14 |
Showing 25 of 56 rows