Surgical workflow recognition on Atlas-Neurosurgical (test)
0.8348AccuracyUniSurg
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| UniSurg2026.02 | 0.8348 | 0.6526 | 0.5935 | |
| DinoV3Model Variant=L2026.02 | 0.7931 | 0.6319 | 0.5696 | |
| EndoFM2026.02 | 0.7787 | 0.4659 | 0.4109 | |
| GastroNet2026.02 | 0.7779 | 0.5871 | 0.5194 | |
| VideoMAEModel Variant=G2026.02 | 0.7706 | 0.5389 | 0.4708 | |
| VideoMAEModel Variant=L2026.02 | 0.7655 | 0.5913 | 0.5213 | |
| DinoV3Model Variant=H2026.02 | 0.7654 | 0.5976 | 0.537 | |
| EndoViT2026.02 | 0.7371 | 0.4851 | 0.4236 | |
| SurgVLP2026.02 | 0.7256 | 0.5116 | 0.4452 | |
| EndoSSL2026.02 | 0.7214 | 0.482 | 0.4186 | |
| Endo Mamba2026.02 | 0.7037 | 0.4457 | 0.3787 | |
| SurgeNetXL2026.02 | 0.6936 | 0.4467 | 0.3835 | |
| Selfsupsurg2026.02 | 0.6519 | 0.3726 | 0.3218 | |
| GSViT2026.02 | 0.6136 | 0.2801 | 0.2415 |