Binary Instrument Segmentation on Robust-MIS 2019 (Stage 3)
0.929mDiceSegMatch
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SegMatchSupervision=Semi-supervised, Training images=5983 labelled + 17K unlabelled2023.08 | 0.929 | 0.928 | |
| DINO-AdapterSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 0.919 | 0.907 | |
| Robust-MIS 2019 winnerSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 0.89 | 0.864 | |
| ISINetSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 0.862 | 0.84 | |
| OR-UnetSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 0.859 | 0.845 |