Person Re-Identification on PRCC
78.3Rank1 AccFoundation Fusion
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Foundation FusionFine-tuning=true2025.07 | 78.3 | 74.77 | |
| CLIP-LFine-tuning=true2025.07 | 73.3 | 70.2 | |
| Eva02-LFine-tuning=true2025.07 | 72.31 | 68.9 | |
| DINOv2-LFine-tuning=true2025.07 | 70.99 | 66.99 | |
| DIFFERVenue=CVPR 252025.07 | 68.5 | 64.7 | |
| RGA-SC2023.06 | 67.4 | 42.3 | |
| AIMv2-LFine-tuning=true2025.07 | 64.35 | 63.09 | |
| MADEVenue=IEEETM2025.07 | 64.3 | 59.1 | |
| BSGA+CREVenue=BMVC 222025.07 | 61.8 | 58.7 | |
| CCFAVenue=CVPR 232025.07 | 61.2 | 58.4 | |
| VILLSVenue=WACV 252025.07 | 58.4 | 55 | |
| AIMVenue=CVPR 232025.07 | 57.9 | 58.3 | |
| CAL+3DInvarReIDBackbone=-2023.08 | 56.5 | 57.2 | |
| CALBackbone=ResNet-502023.08 | 55.2 | 55.8 | |
| CALVenue=CVPR 222025.07 | 55.2 | 55.8 | |
| FSAMBackbone=ResNet-502023.08 | 54.5 | — | |
| IRMTraining Protocol=MTL, Multi-dataset training=true2023.06 | 54.2 | 52.3 | |
| PASSVenue=ECCV 222025.07 | 52.4 | 53.4 | |
| 3DInvarReIDBackbone=ResNet-502023.08 | 51.6 | 52.5 | |
| 3DSLBackbone=ResNet-50×22023.08 | 51.3 | — | |
| SOLIDER†Venue=IEEE/CVF 232025.07 | 50.1 | 49.9 | |
| IRMTraining Protocol=STL2023.06 | 48.1 | 46 | |
| IANet2023.06 | 46.3 | 45.9 | |
| CLIP-ReID (ViT-B)Method Category=Tr-ReID, Backbone=ViT-B, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 45.3 | 40.83 | |
| CCILMethod Category=CC-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 42.7 | 38.74 | |
| CIFTMethod Category=CM-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 41.86 | 38.79 | |
| PCB2023.06 | 41.8 | 38.7 | |
| PCBBackbone=ResNet-502023.08 | 41.8 | 38.7 | |
| 3DInvarReID#Backbone=ResNet-50, trained_on_dataset=Celeb-reID, initialization=CAL model2023.08 | 40.7 | 21.4 | |
| Uni-ATMethod Category=AT-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 38.67 | 38.88 | |
| BoTMethod Category=Tr-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 36.78 | 26.78 | |
| CALMethod Category=CC-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 36.21 | 33.63 | |
| DEENMethod Category=CM-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 35.79 | 31.42 | |
| CLIP-ReID (R50)Method Category=Tr-ReID, Backbone=ResNet-50, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 35.73 | 30.5 | |
| AIMMethod Category=CC-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 35.39 | 33.67 | |
| CAJMethod Category=CM-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 35.06 | 32.82 | |
| TransReIDMethod Category=Tr-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 34.97 | 34.96 | |
| 3DInvarReIDBackbone=ResNet-50, trained_on_dataset=Celeb-reID2023.08 | 34.6 | 20.1 | |
| BaselineMethod Category=AT-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 33.95 | 33.63 | |
| CALBackbone=ResNet-50, trained_on_dataset=Celeb-reID2023.08 | 31.6 | 20.3 | |
| HACNNBackbone=*2023.08 | 21.8 | — | |
| HACNN2023.06 | — | 21.8 | |
| TransReID2023.06 | — | 44.2 |