Person Re-identification on Market-1501 to MSMT17 (test)
87.4Rank-1Baseline + MUSE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Baseline + MUSERe-ranking=false2026.06 | 87.4 | 66.9 | |
| Baseline + MUSE + CAJRe-ranking=true2026.06 | 87 | 80.8 | |
| Baseline + MUSE + ECNRe-ranking=true2026.06 | 86.6 | 80.1 | |
| Baseline + MUSE + K-RNNRe-ranking=true2026.06 | 85.2 | 76.9 | |
| Baseline + CAJRe-ranking=true2026.06 | 79.3 | 68.1 | |
| Baseline + ECNRe-ranking=true2026.06 | 78.9 | 68.4 | |
| Baseline + K-RNNRe-ranking=true2026.06 | 77.1 | 63 | |
| BaselineRe-ranking=false2026.06 | 76.8 | 50.9 | |
| IDM+MSINetLearning Type=Unsupervised Domain Adaptation (UDA), Backbone=MSINet2023.03 | 66 | 37.8 | |
| Baseline + MUSE + ECNRe-ranking=true2026.06 | 64.4 | 44.7 | |
| Baseline + MUSE + CAJRe-ranking=true2026.06 | 63.9 | 41.8 | |
| Baseline + MUSE + K-RNNRe-ranking=true2026.06 | 62.7 | 37.5 | |
| IDMLearning Type=Unsupervised Domain Adaptation (UDA)2023.03 | 61.3 | 33.5 | |
| Baseline + CAJRe-ranking=true2026.06 | 60.9 | 40 | |
| Baseline + ECNRe-ranking=true2026.06 | 60.6 | 41.4 | |
| Baseline + MUSERe-ranking=false2026.06 | 59.3 | 27.4 | |
| Baseline + K-RNNRe-ranking=true2026.06 | 58.5 | 34.5 | |
| MUVAType=VLM-based2026.03 | 56.8 | 27.6 | |
| SpCLLearning Type=Unsupervised Domain Adaptation (UDA)2023.03 | 53.7 | 26.8 | |
| BaselineRe-ranking=false2026.06 | 53.4 | 24.7 | |
| DCACType=VLM-based2026.03 | 52.1 | 23.4 | |
| DCACRe-ranking=false2026.06 | 52.1 | 23.4 | |
| GCLLearning Type=Unsupervised Domain Adaptation (UDA)2023.03 | 51.1 | 27 | |
| DMRLType=VLM-based, Uses extra datasets for pre-training=true2026.03 | 50.6 | 21.5 | |
| DMRLRe-ranking=false2026.06 | 50.6 | 21.5 | |
| MMTLearning Type=Unsupervised Domain Adaptation (UDA)2023.03 | 50.1 | 24 | |
| MMETType=VLM-based, Uses extra datasets for pre-training=true2026.03 | 50.1 | 26.8 | |
| QAConv-MSType=Image Matching, Input image size larger than 256x128=true2026.03 | 49.7 | 19.9 | |
| QAConv-MSRe-ranking=false2026.06 | 49.7 | 19.9 | |
| STLType=Normalization2026.03 | 48.9 | 19.8 | |
| STLRe-ranking=false2026.06 | 48.9 | 19.8 | |
| STL+PATRe-ranking=false2026.06 | 48.9 | 19.8 | |
| JVTC+Learning Type=Unsupervised Domain Adaptation (UDA)2023.03 | 48.6 | 25.1 | |
| TransMatcherType=Image Matching, Input image size larger than 256x128=true2026.03 | 47.3 | 18.4 | |
| CLIP-FGDIType=VLM-based, Input image size larger than 256x128=true2026.03 | 47 | 20.2 | |
| CLIP-FGDIRe-ranking=false2026.06 | 47 | 20.2 | |
| QAConv-GSType=Image Matching, Input image size larger than 256x128=true2026.03 | 45.9 | 17.2 | |
| PATType=Part-based2026.03 | 42.8 | 18.2 | |
| MMCLLearning Type=Unsupervised Domain Adaptation (UDA)2023.03 | 40.8 | 15.1 | |
| LDUType=Normalization2026.03 | 35.7 | 13.5 | |
| LDURe-ranking=false2026.06 | 35.7 | 13.5 | |
| MLFPType=Augmentation2026.03 | 34.3 | 11.9 | |
| MDAType=Meta-Learning, Uses target domain data for test-time updating=true2026.03 | 33.5 | 11.8 | |
| MetaBINType=Meta-Learning2026.03 | 31 | 10.4 | |
| SuA-SpMLType=Meta-Learning2026.03 | 30.1 | 11.1 | |
| GNType=Normalization2026.03 | 28.6 | 10.3 | |
| CBNType=Normalization2026.03 | 25.3 | 9.5 | |
| QAConvType=Image Matching, Input image size larger than 256x128=true2026.03 | 22.6 | 7 |