Person Re-identification on CUHK03 NP
93.1Rank-1GCP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GCPBase Method=PHA2025.10 | 93.1 | 92.2 | |
| DRFormer2026.02 | 89.6 | 88.1 | |
| GCPBackbone=ResNet502025.10 | 88.6 | 88.1 | |
| α-FPSBase Method=PHA2025.10 | 86.8 | 84.8 | |
| IRM2025.10 | 86.5 | 85.4 | |
| k-centroidBase Method=PHA2025.10 | 85.9 | 84.2 | |
| PHAVenue=CVPR’232026.02 | 84.5 | 83 | |
| PHA2025.10 | 84.5 | 83 | |
| SCSN2021.08 | 84.1 | 80.2 | |
| APNet-C2021.08 | 83 | 81.5 | |
| SP loss2025.10 | 82.4 | 84.6 | |
| LAG-Net2021.08 | 82.2 | 79.1 | |
| TransReIDVenue=ICCV'212026.02 | 81.7 | 79.6 | |
| TransReID2025.10 | 81.7 | 79.6 | |
| DC-FormerVenue=AAAI’232026.02 | 81.6 | 79.4 | |
| CLIP-ReIDVenue=AAAI’232026.02 | 80.9 | 81.6 | |
| APNet-S2021.08 | 80.9 | 78.1 | |
| C2F2025.10 | 80.6 | 79.3 | |
| baseline2026.02 | 80.5 | 80 | |
| AAformerVenue=TNNLS’232026.02 | 80.3 | 79 | |
| RGA-SC2021.08 | 79.6 | 74.5 | |
| Pyramid2021.08 | 78.9 | 74.8 | |
| Pyramid2025.10 | 78.9 | 76.9 | |
| DSA2021.08 | 78.2 | 73.1 | |
| DPD-1012021.08 | 78.2 | 74.9 | |
| RGA-S2021.08 | 78.1 | 72.7 | |
| NFormer2025.10 | 78 | 77.2 | |
| Auto-ReID2025.10 | 77.9 | 73 | |
| CBDB-Net2025.10 | 77.8 | 76.6 | |
| BAT-net2021.08 | 76.2 | 73.2 | |
| CBDB-Net2021.08 | 75.4 | 72.8 | |
| ISP2021.08 | 75.2 | 71.4 | |
| OSNet2021.08 | 72.3 | 67.8 | |
| MHN2021.08 | 71.7 | 65.4 | |
| SCAL-C2021.08 | 71.1 | 68.6 | |
| SCAL-S2021.08 | 70.4 | 68.2 | |
| DPD2021.08 | 70.2 | 68.5 | |
| MGN2021.08 | 66.8 | 66 | |
| CAMA2021.08 | 66.6 | 64.2 | |
| DG-Net2021.08 | 65.6 | 61.1 | |
| Mancs2021.08 | 65.5 | 60.5 | |
| PCB+RPP2021.08 | 63.7 | 57.5 | |
| MG-CAM2021.08 | 41.7 | 38.6 | |
| HA-CNN2021.08 | 41.7 | 38.6 | |
| TransMatcherVenue=Ours, Train Set=MSMTall2021.05 | 31.9 | 30.7 | |
| QAConv-GSVenue=arXiv'21, Train Set=MSMTall2021.05 | 27.2 | 27.1 | |
| TransMatcherTraining Dataset=ClonedPerson, #ID=4,826, #Imgs=763k2022.04 | 25.4 | 24.4 | |
| QAConvVenue=ECCV'20, Train Set=MSMTall2021.05 | 25.3 | 22.6 | |
| TransMatcherVenue=Ours, Train Set=MSMT2021.05 | 23.7 | 22.5 | |
| TransMatcherTraining Dataset=MSMT172022.04 | 23.7 | 22.5 | |
| TransMatcherTraining Dataset=RandPerson*, #ID=8,000, #Imgs=1,239k2022.04 | 22.9 | 22.9 | |
| QAConv 2.0Training Data=ClonedPerson2022.04 | 22.6 | 21.8 | |
| QAConvTraining Dataset=ClonedPerson, #ID=4,826, #Imgs=763k2022.04 | 22.6 | 21.8 | |
| TransMatcherVenue=Ours, Train Set=Market2021.05 | 22.2 | 21.4 | |
| TransMatcherTraining Dataset=Market2022.04 | 22.2 | 21.4 | |
| TransMatcherTraining Dataset=UnrealPerson, #ID=6,799, #Imgs=1,256k2022.04 | 21.8 | 19.7 | |
| TransMatcherTraining Dataset=UnrealPerson, #ID=3,000, #Imgs=120k2022.04 | 21.4 | 19.6 | |
| TransMatcherTraining Dataset=RandPerson, #ID=8,000, #Imgs=1,801k2022.04 | 21.2 | 18.7 | |
| QAConvTraining Dataset=RandPerson*, #ID=8,000, #Imgs=1,239k2022.04 | 20.5 | 20.1 | |
| QAConv-GSVenue=arXiv'21, Train Set=MSMT2021.05 | 20 | 19.2 | |
| QAConvTraining Dataset=UnrealPerson, #ID=6,799, #Imgs=1,256k2022.04 | 19.2 | 17.2 | |
| QAConvTraining Dataset=UnrealPerson, #ID=3,000, #Imgs=120k2022.04 | 18.8 | 17.8 | |
| QAConv 2.0Training Data=MSMT172022.04 | 18.5 | 19.2 | |
| TransMatcherTraining Dataset=RandPerson, #ID=8,000, #Imgs=132k2022.04 | 18.4 | 16.9 | |
| QAConvTraining Dataset=RandPerson, #ID=8,000, #Imgs=1,801k2022.04 | 17.8 | 16 | |
| TransMatcherVenue=Ours, Train Set=RandPerson2021.05 | 17.1 | 16 | |
| QAConvTraining Dataset=RandPerson, #ID=8,000, #Imgs=132k2022.04 | 16.8 | 15.1 | |
| QAConv-GSVenue=arXiv'21, Train Set=Market2021.05 | 16.4 | 15.7 | |
| QAConv 2.0Training Data=Market-15012022.04 | 15.1 | 15.1 | |
| QAConv-GSVenue=arXiv'21, Train Set=RandPerson2021.05 | 14.8 | 13.4 | |
| RP BaselineVenue=MM'20, Train Set=RandPerson2021.05 | 13.4 | 10.8 | |
| SpCLTraining Dataset=ClonedPerson, #ID=4,826, #Imgs=75k2022.04 | 11.7 | 12 | |
| MuDeepVenue=PAMI'20, Train Set=Market2021.05 | 10.3 | 9.1 | |
| QAConvVenue=ECCV'20, Train Set=Market2021.05 | 9.9 | 8.6 | |
| MGNVenue=MM'18, Train Set=Market2021.05 | 8.5 | 7.4 | |
| SpCLTraining Dataset=UnrealPerson, #ID=3,000, #Imgs=120k2022.04 | 4.2 | 5.3 | |
| SpCLTraining Dataset=RandPerson, #ID=8,000, #Imgs=132k2022.04 | 3.9 | 4.7 |