Re-identification on Macro Average (Across Datasets)
96.9AUCLCMem Single Stage
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LCMem Single StageMethod Category=Task-specific, Sensitivity=0.99, Training Protocol=Jointly trained2025.12 | 96.9 | 73.4 | |
| LCMemMethod Category=Task-specific, Sensitivity=0.99, Training Protocol=Jointly trained2025.12 | 95.5 | 65.3 | |
| SwAVMethod Category=Foundation Models, Sensitivity=0.992025.12 | 80.9 | 7.4 | |
| DINOv3Method Category=Foundation Models, Sensitivity=0.992025.12 | 80.4 | 7.9 | |
| ConvNeXtMethod Category=Foundation Models, Sensitivity=0.992025.12 | 77.6 | 7.2 | |
| MAEMethod Category=Foundation Models, Sensitivity=0.992025.12 | 77.2 | 7.2 | |
| DINOv2Method Category=Foundation Models, Sensitivity=0.992025.12 | 76.6 | 5.5 | |
| CLIPMethod Category=Foundation Models, Sensitivity=0.992025.12 | 76.2 | 14.5 | |
| Siamese + NT-XentMethod Category=Unsupervised, Sensitivity=0.992025.12 | 74.1 | 6.6 | |
| MSEMethod Category=Pixel-wise, Sensitivity=0.992025.12 | 73.5 | 6.3 | |
| NCCMethod Category=Pixel-wise, Sensitivity=0.992025.12 | 73.1 | 2.1 | |
| Siamese + NT-XentMethod Category=Task-specific, Sensitivity=0.99, Training Protocol=Jointly trained2025.12 | 72.5 | 7.2 | |
| BYOLMethod Category=Foundation Models, Sensitivity=0.992025.12 | 72.2 | 6.1 | |
| SiameseMethod Category=Task-specific, Sensitivity=0.99, Training Protocol=Jointly trained2025.12 | 71.8 | 6.5 | |
| InceptionMethod Category=Foundation Models, Sensitivity=0.992025.12 | 70.5 | 4.8 | |
| SSIMMethod Category=Pixel-wise, Sensitivity=0.992025.12 | 68.8 | 6 | |
| RandomMethod Category=Unsupervised, Sensitivity=0.992025.12 | 66.8 | 7.6 | |
| data2vecMethod Category=Foundation Models, Sensitivity=0.992025.12 | 60.2 | 1.6 |