Attention heatmap prediction on AutoLaparo SurgAtt
2.741NSSSurgAtt-Tracker
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SurgAtt-TrackerEvaluation protocol=Fine-tuning2026.02 | 2.741 | 0.837 | 0.769 | 0.014 | 0.048 | |
| RT-DETRv2Evaluation protocol=Fine-tuning2026.02 | 2.715 | 0.773 | 0.708 | 0.019 | 0.058 | |
| YOLOv12Evaluation protocol=Fine-tuning2026.02 | 2.516 | 0.756 | 0.671 | 0.022 | 0.065 | |
| SurgAtt-TrackerEvaluation protocol=Zero-shot2026.02 | 1.949 | 0.721 | 0.575 | 0.035 | 0.088 | |
| RT-DETRv2Evaluation protocol=Zero-shot2026.02 | 1.864 | 0.708 | 0.556 | 0.053 | 0.156 | |
| YOLOv12Evaluation protocol=Zero-shot2026.02 | 1.551 | 0.658 | 0.52 | 0.059 | 0.146 | |
| MCITRACKEvaluation protocol=Zero-shot2026.02 | 1.44 | 0.578 | 0.503 | 0.074 | 0.196 | |
| SalFoMEvaluation protocol=Zero-shot2026.02 | 1.408 | 0.531 | 0.594 | 0.078 | 0.206 | |
| EMCADEvaluation protocol=Zero-shot2026.02 | 1.378 | 0.593 | 0.648 | 0.077 | 0.214 |