Segmentation on CholecInst
68mIoUMultiMAE
Evaluation results
| Method | Links | |
|---|---|---|
| MultiMAEEvaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=Surgical, Input Modality=RGB-D2026.01 | 68 | |
| Mask3DEvaluation Protocol=End-to-End Fine-tuning, Input Modality=Point Cloud2026.01 | 67.5 | |
| MultiMAE (IN-1k)Evaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=ImageNet-1k, Input Modality=RGB2026.01 | 64.2 | |
| DINOv2-RGBDEvaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=Surgical, Input Modality=RGB-D2026.01 | 63.5 | |
| DINOv2-RGBEvaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=Surgical, Input Modality=RGB2026.01 | 62.8 | |
| DINOv2 (LVD)Evaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=LVD, Input Modality=RGB2026.01 | 60.1 | |
| MAE (IN-1k)Evaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=ImageNet-1k, Input Modality=RGB2026.01 | 55.9 | |
| MAEEvaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=Surgical, Input Modality=RGB2026.01 | 51.7 |