Object Detection on CholecTrack20
37.2mAPMultiMAE
Evaluation results
| Method | Links | |
|---|---|---|
| MultiMAEEvaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=Surgical, Input Modality=RGB-D2026.01 | 37.2 | |
| MultiMAE (IN-1k)Evaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=ImageNet-1k, Input Modality=RGB2026.01 | 35.4 | |
| DINOv2-RGBDEvaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=Surgical, Input Modality=RGB-D2026.01 | 32.4 | |
| MAE (IN-1k)Evaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=ImageNet-1k, Input Modality=RGB2026.01 | 30.1 | |
| MAEEvaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=Surgical, Input Modality=RGB2026.01 | 30.1 | |
| DINOv2-RGBEvaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=Surgical, Input Modality=RGB2026.01 | 30.1 | |
| DINOv2 (LVD)Evaluation Protocol=End-to-End Fine-tuning, Pre-training dataset=LVD, Input Modality=RGB2026.01 | 22 | |
| Mask3DEvaluation Protocol=End-to-End Fine-tuning, Input Modality=Point Cloud2026.01 | 18.8 |