Person Re-identification on Partial-iLIDS
85.9Rank-1CityGuard
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CityGuard2026.02 | 85.9 | — | — | 90.8 | |
| THCB-NetPre-training=LUPerson2026.02 | 83.2 | — | — | 89 | |
| Swin-BPre-training=LUPerson2026.02 | 79 | — | — | 84.6 | |
| PRE-Net2026.02 | 78.2 | — | — | — | |
| DOAN2026.02 | 78.2 | — | — | 91.6 | |
| QPM2026.02 | 77.3 | — | — | — | |
| RGANet2026.02 | 77 | — | — | — | |
| PAT2026.02 | 76.5 | — | — | — | |
| PGFL-KDBackbone=ResNet-502021.07 | 74 | 86.7 | — | — | |
| FRT2026.02 | 73 | — | — | — | |
| HOReIDTraining dataset=Market-15012020.03 | 72.6 | 86.4 | — | — | |
| HOReIDBackbone=ResNet-502021.07 | 72.6 | 86.4 | — | — | |
| HOReID2026.02 | 72.6 | — | — | — | |
| PGFATraining dataset=Market-15012020.03 | 69.1 | 80.9 | — | — | |
| PGFABackbone=ResNet-502021.07 | 69.1 | 80.9 | — | — | |
| FPRTraining dataset=Market-15012020.03 | 68.1 | — | — | — | |
| FPRBackbone=ResNet-502021.07 | 68.1 | — | — | — | |
| VPMCrop strategy=Top2019.04 | 67.2 | 76.5 | — | — | |
| VPM2020.01 | 67.2 | 76.5 | — | — | |
| VPMCrop strategy=Bilateral2019.04 | 65.5 | 74.8 | — | — | |
| VPMTraining dataset=Market-15012020.03 | 65.5 | 74.8 | — | — | |
| VPMBackbone=ResNet-502021.07 | 65.5 | 74.8 | — | — | |
| AGW2020.01 | 64.7 | 79.8 | 73.3 | — | |
| DSR2026.02 | 64.3 | — | — | 58.1 | |
| SFR2019.04 | 63.9 | 74.8 | — | — | |
| SFRTraining dataset=Market-15012020.03 | 63.9 | 74.8 | — | — | |
| SFR2020.01 | 63.9 | 74.8 | — | — | |
| SFRBackbone=ResNet-502021.07 | 63.9 | 74.8 | — | — | |
| DSR2019.04 | 58.8 | 67.2 | — | — | |
| DSRTraining dataset=Market-15012020.03 | 58.8 | 67.2 | — | — | |
| DSR2020.01 | 58.8 | 67.2 | — | — | |
| BagTricks2020.01 | 58.8 | 73.9 | 68.7 | — | |
| DSRBackbone=ResNet-502021.07 | 58.8 | 67.2 | — | — | |
| DAAF-BoTTraining Dataset=Market-1501, Base Model=BoT2020.03 | 53.8 | 72.3 | — | — | |
| VPMCrop strategy=Bottom2019.04 | 53.6 | 62.3 | — | — | |
| BoTTraining Dataset=Market-15012020.03 | 51.3 | 63.9 | — | — | |
| PCB2026.02 | 46.8 | — | — | 40.2 | |
| DAAF-TriNetTraining Dataset=Market-1501, Base Model=TriNet2020.03 | 45.38 | 64.71 | — | — | |
| PCBTraining Dataset=Market-15012020.03 | 44.5 | 61.3 | — | — | |
| TriNetTraining Dataset=Market-15012020.03 | 32.77 | 56.3 | — | — | |
| AMC+SWM2019.04 | 21 | 32.8 | — | — | |
| MTRC2019.04 | 17.7 | 26.1 | — | — |