Stenosis Detection on ARCADE 1.0 (test)
94.91mAP50VasoMIM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| VasoMIMPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 94.91 | 25.72 | 41.07 | 1 | |
| VasoMIM-v1Pre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 94.25 | 25.01 | 40.91 | 2 | |
| DINOv3Pre-training Data=LVD-1698M, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 93.89 | 23.6 | 40.9 | 5.33 | |
| MedDINOv3Pre-training Data=LVD-1698M & CT-3M, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 93.79 | 20.96 | 39.69 | 10.67 | |
| LVM-MedPre-training Data=Medical-1.3M, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 93.64 | 23.14 | 39.75 | 9 | |
| LocalMIMPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 93.59 | 24.76 | 40.24 | 5 | |
| RAD-DINOPre-training Data=LVD-142M & CXR-838K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 93.56 | 23.92 | 40.64 | 6.67 | |
| AMTPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 93.35 | 24.33 | 40.23 | 7 | |
| CheXWorldPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 92.89 | 23.48 | 40.16 | 9.33 | |
| HPMPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 92.47 | 24.65 | 40.53 | 6.67 | |
| MAEPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 92.3 | 24.28 | 39.69 | 9.67 | |
| iBOTPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 92.16 | 23.94 | 39.76 | 9.67 | |
| MoCo v3Pre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 91.54 | 21.74 | 38.74 | 14 | |
| I-JEPAPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 90.47 | 22.51 | 38.63 | 14 | |
| SimMIMPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 89.84 | 22.3 | 38.29 | 15 | |
| DETRPre-training Data=None, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 89.3 | 19.35 | 36.51 | 19 | |
| DeblurringMIMPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 88.99 | 24.73 | 39.26 | 11.33 | |
| DINOPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 88.83 | 21.12 | 37.65 | 17 | |
| FrepaPre-training Data=XA-170K, Fine-tuning=end-to-end, Resolution=512x5122026.02 | 88.61 | 19.82 | 37.22 | 18.67 | |
| Faster R-CNNPre-training Data=None, Fine-tuning=end-to-end, Resolution=512x512, Architecture=Faster R-CNN with FPN2026.02 | 88.37 | 19.01 | 36.63 | 20.33 | |
| Model GenesisPre-training Data=XA-170K, Implementation=2D version, Resolution=512x5122026.02 | 87.81 | 19.96 | 36.89 | 19.33 |