BCI
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| ROI-level classification | BCI | Accuracy91.3 | 28 | |
| Classification | BCI IV-2a | Accuracy65.09 | 25 | |
| Image-to-Image Translation | BCI | SSIM0.5301 | 15 | |
| Virtual Staining | BCI All | SSIM0.47 | 13 | |
| Classification | BCI IV-2b | Accuracy73.76 | 13 | |
| Virtual Staining | BCI Class 3+ | SSIM36.87 | 10 | |
| Virtual Staining | BCI Class 2+ | SSIM0.3842 | 10 | |
| Virtual Staining | BCI Class 1+ | SSIM40.68 | 10 | |
| Virtual Staining | BCI Class 0 | SSIM45.07 | 10 | |
| Stain Translation | BCI HER2 challenge (test) | SSIM0.5032 | 10 | |
| Classification | BCI (test) | F1 Score54.39 | 9 | |
| Height Estimation | BCI (test) | Delta Accuracy (1.25)94.14 | 9 | |
| MI-EEG decoding | BCI 2b Competition IV (test) | Accuracy79.02 | 8 | |
| Classification | BCI | Accuracy56 | 8 | |
| 4-class Motor Imagery Classification | BCI 2A (held-out subject) | Accuracy50.4 | 6 | |
| HER2 status classification | BCI (test) | Accuracy95.6 | 6 | |
| Virtual Staining | BCI 977 images (test) | FID34.6 | 5 | |
| Tree crown segmentation | BCI50ha Tropical | mAP (All)37.5 | 5 | |
| Cross-session BCI decoding | BCI | Recovery106 | 4 |
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