Re-identification on CT-RATE
97.2AUCLCMem Single Stage
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LCMem Single StageMethod Category=Task-specific, Sensitivity=0.99, Training Protocol=Jointly trained2025.12 | 97.2 | 51.2 | |
| SSIMMethod Category=Pixel-wise, Sensitivity=0.992025.12 | 95.5 | 24.1 | |
| MSEMethod Category=Pixel-wise, Sensitivity=0.992025.12 | 92.2 | 21 | |
| MAEMethod Category=Foundation Models, Sensitivity=0.992025.12 | 91.7 | 21.1 | |
| LCMemMethod Category=Task-specific, Sensitivity=0.99, Training Protocol=Jointly trained2025.12 | 91.4 | 16.7 | |
| NCCMethod Category=Pixel-wise, Sensitivity=0.992025.12 | 90.4 | 0.5 | |
| RandomMethod Category=Unsupervised, Sensitivity=0.992025.12 | 88.3 | 27.4 | |
| SwAVMethod Category=Foundation Models, Sensitivity=0.992025.12 | 88.2 | 16.9 | |
| SiameseMethod Category=Task-specific, Sensitivity=0.99, Training Protocol=Jointly trained2025.12 | 88 | 24 | |
| BYOLMethod Category=Foundation Models, Sensitivity=0.992025.12 | 85.9 | 19 | |
| DINOv2Method Category=Foundation Models, Sensitivity=0.992025.12 | 83 | 9 | |
| InceptionMethod Category=Foundation Models, Sensitivity=0.992025.12 | 81.8 | 9.1 | |
| Siamese + NT-XentMethod Category=Unsupervised, Sensitivity=0.992025.12 | 81.6 | 14.7 | |
| ConvNeXtMethod Category=Foundation Models, Sensitivity=0.992025.12 | 81.6 | 9.5 | |
| CLIPMethod Category=Foundation Models, Sensitivity=0.992025.12 | 78.7 | 10.3 | |
| DINOv3Method Category=Foundation Models, Sensitivity=0.992025.12 | 77.8 | 9 | |
| Siamese + NT-XentMethod Category=Task-specific, Sensitivity=0.99, Training Protocol=Jointly trained2025.12 | 77.6 | 16.1 | |
| data2vecMethod Category=Foundation Models, Sensitivity=0.992025.12 | 72.9 | 2.6 |