Laparoscopic Liver Landmark Detection on L3D-2K
0.5351DSCA2ONet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| A2ONet2026.05 | 0.5351 | 0.3832 | 30.97 | |
| D2GPLand+2026.05 | 0.5166 | 0.3759 | 36.24 | |
| D2GPLand2026.05 | 0.4931 | 0.3576 | 41.34 | |
| SAMed2026.05 | 0.4372 | 0.312 | 43.01 | |
| DeepLabV3+2026.05 | 0.4155 | 0.2989 | 55.11 | |
| nnU-Net2026.05 | 0.4125 | 0.293 | 51.28 | |
| HRNet2026.05 | 0.4119 | 0.2936 | 56.4 | |
| Double Res-UNet2026.05 | 0.4053 | 0.286 | 53.75 | |
| AutoSAM2026.05 | 0.4047 | 0.2857 | 54.58 | |
| Res-UNet2026.05 | 0.4039 | 0.2843 | 55.8 | |
| CaseNet2026.05 | 0.4023 | 0.2837 | 56.55 | |
| SAM-LST2026.05 | 0.3943 | 0.2739 | 56.69 | |
| SAM-Adapter2026.05 | 0.392 | 0.2681 | 59.61 | |
| UNet++2026.05 | 0.387 | 0.2726 | 58.7 | |
| TransUNet2026.05 | 0.3754 | 0.2585 | 46.75 | |
| COSNet2026.05 | 0.3735 | 0.2596 | 59.24 | |
| U-Net2026.05 | 0.3517 | 0.2374 | 76.78 |