Person Re-Identification on MSMT17 source: DukeMTMC-reID (test)
82.8Rank-1 AccAWB
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| AWBAdaptation Stage=Pre-A, Attention Module=I-CBAM2020.06 | 82.8 | 68.6 | 91.4 | 93.1 | |
| AWBAdaptation Stage=Post-A, Attention Module=Non-local2020.06 | 81.7 | 69.6 | 90.5 | 93.4 | |
| Non-local2020.06 | 81.4 | 68 | 90.5 | 93.1 | |
| WaveBlock2020.06 | 80.9 | 67.1 | 89.9 | 92.9 | |
| I-CBAM2020.06 | 79.2 | 66.4 | 89.7 | 92.9 | |
| MUVAType=VLM-based2026.03 | 77.8 | 62 | — | — | |
| IGMGType=Normalization, Input image size larger than 256x128=true2026.03 | 77.7 | 61.6 | — | — | |
| MMTnote=implementation based on original code2020.06 | 76.5 | 63.2 | 88 | 91.4 | |
| DG-Net++training=unsupervised cross-domain2020.07 | 75.2 | 58.2 | 73.6 | 86.9 | |
| DCAC2025.02 | 75 | 58.4 | — | — | |
| DCACType=VLM-based2026.03 | 75 | 58.4 | — | — | |
| Baseline2025.02 | 73.8 | 57.1 | — | — | |
| PAULtraining=unsupervised cross-domain2020.07 | 72 | 53.2 | — | — | |
| PAUL2020.06 | 72 | 53.2 | 82.7 | 86 | |
| MDAType=Meta-Learning, Uses target domain data for test-time updating=true2026.03 | 71.7 | 52.4 | — | — | |
| PATType=Part-based2026.03 | 71.4 | 54.9 | — | — | |
| Unsupervised and self-adaptative ReIDRe-Ranking=true, Source pre-training=true2021.03 | 69.6 | 46.6 | 77.1 | 80.4 | |
| QAConv2025.02 | 69.4 | 52.6 | — | — | |
| QAConvType=Image Matching, Input image size larger than 256x128=true2026.03 | 69.4 | 52.6 | — | — | |
| SNR2025.02 | 69.2 | 50 | — | — | |
| LDU2025.02 | 69.2 | 48.9 | — | — | |
| LDUType=Normalization2026.03 | 69.2 | 48.9 | — | — | |
| TransMatcherType=Image Matching, Input image size larger than 256x128=true2026.03 | 67.9 | 50.8 | — | — | |
| MTI2025.02 | 67.5 | 47.7 | — | — | |
| MCRNVenue=AAAI222026.01 | 67.5 | 35.7 | 77.9 | 81.6 | |
| MTIType=Normalization2026.03 | 67.5 | 47.7 | — | — | |
| OSNet-IBN2025.02 | 67.4 | 45.6 | — | — | |
| QAConv-GSType=Image Matching, Input image size larger than 256x128=true2026.03 | 67.3 | 47.5 | — | — | |
| CLIP-FGDIType=VLM-based, Input image size larger than 256x128=true2026.03 | 66.9 | 47.5 | — | — | |
| CBN2025.02 | 66.2 | 46.7 | — | — | |
| GN+SNR2025.02 | 66.2 | 45.4 | — | — | |
| CBNType=Normalization2026.03 | 66.2 | 46.7 | — | — | |
| GN+SNRType=Normalization2026.03 | 66.2 | 45.4 | — | — | |
| DAPRH2026.01 | 65.5 | 36 | 77 | 80.9 | |
| RESLVenue=AAAI222026.01 | 65.2 | 34.2 | 74.6 | 80.1 | |
| MetaBINType=Meta-Learning2026.03 | 64.2 | 42.2 | — | — | |
| Unsupervised and self-adaptative ReIDRe-Ranking=false, Source pre-training=true2021.03 | 63.9 | 34.5 | 75.3 | 79.6 | |
| CCTSEVenue=IEEE.TIFS212026.01 | 63.9 | 34.5 | 75.3 | 79.6 | |
| ABMTSource pre-training=true2021.03 | 61.8 | 33 | — | — | |
| CDCLVenue=KBS232026.01 | 61.4 | 30.3 | 74.8 | 77.1 | |
| AWBAdaptation Stage=Pre-A, Attention Module=I-CBAM2020.06 | 61 | 29.5 | 73.5 | 77.9 | |
| GLTVenue=CVPR212026.01 | 59.5 | 27.7 | 70.1 | 74.2 | |
| MMTMt=1000, Backbone=IBN-ResNet-502020.01 | 58.8 | 29.7 | 71 | 76.1 | |
| WaveBlock2020.06 | 58.5 | 28.1 | 71.5 | 76.4 | |
| MMTMt=1500, Backbone=IBN-ResNet-502020.01 | 58.2 | 29.3 | 71.6 | 76.8 | |
| AWBAdaptation Stage=Post-A, Attention Module=Non-local2020.06 | 57.9 | 29 | 71.5 | 76.6 | |
| AWBVenue=IEEE.TIP222026.01 | 57.9 | 29 | 71.5 | 76.6 | |
| Non-local2020.06 | 57.2 | 28.4 | 70.7 | 76 | |
| MMTMt=2000, Backbone=IBN-ResNet-502020.01 | 56.8 | 28.1 | 70.8 | 76 | |
| DIMGLOVenue=ACM.MM202026.01 | 56.5 | 24.4 | — | 70 | |
| Dual-RefinementSource pre-training=true2021.03 | 55 | 26.9 | 68.4 | 73.2 | |
| UNRNVenue=AAAI212026.01 | 54.9 | 26.2 | 67.3 | 70.6 | |
| SSKDSource pre-training=true2021.03 | 53.8 | 26 | 66.6 | 72 | |
| SpCLVenue=NIPS202026.01 | 53.1 | 26.5 | 65.8 | 70.5 | |
| I-CBAM2020.06 | 51.7 | 24.1 | 65.5 | 71.1 | |
| MMTMt=1500, Backbone=ResNet-502020.01 | 50.1 | 23.3 | 63.9 | 69.8 | |
| MMT2020.06 | 50.1 | 23.3 | 63.9 | 69.8 | |
| MMTSource pre-training=true2021.03 | 50.1 | 23.3 | 63.9 | 69.8 | |
| CycAsSource pre-training=false2021.03 | 50.1 | 26.7 | — | — | |
| MMTVenue=ICLR202026.01 | 50.1 | 23.3 | 63.9 | 69.8 | |
| MMTMt=1000, Backbone=ResNet-502020.01 | 50 | 23.5 | 63.6 | 69.2 | |
| MMTMt=500, Backbone=IBN-ResNet-502020.01 | 50 | 23.3 | 62.8 | 68.4 | |
| MMTMt=2000, Backbone=ResNet-502020.01 | 49 | 22.4 | 62.5 | 67.8 | |
| DG-Net++training=unsupervised cross-domain2020.07 | 48.8 | 22.1 | 60.9 | 65.9 | |
| DG-Net++Source pre-training=true2021.03 | 48.8 | 22.1 | 60.9 | 65.9 | |
| DCAC2025.02 | 47.4 | 19.7 | — | — | |
| Baseline2025.02 | 46.9 | 19 | — | — | |
| LDU2025.02 | 44.2 | 16.7 | — | — | |
| PAT2025.02 | 43.9 | 19.2 | — | — | |
| MMCL2020.06 | 43.6 | 16.2 | 54.3 | 58.9 | |
| MMCLSource pre-training=true2021.03 | 43.6 | 16.2 | 54.3 | 58.9 | |
| ECN++2020.06 | 42.5 | 16 | 55.9 | 61.5 | |
| ECN-GPPSource pre-training=true2021.03 | 42.5 | 16 | 55.9 | 61.5 | |
| SSG++Source Dataset=DukeMTMC-reID, Protocol=Semi-supervised Domain Adaptation2018.11 | 41.6 | 18.3 | — | 62.2 | |
| MMTMt=500, Backbone=ResNet-502020.01 | 41.3 | 17.9 | 54.2 | 59.7 | |
| SuA-SpML2025.02 | 37.8 | 13.6 | — | — | |
| CBN2025.02 | 35.4 | 13 | — | — | |
| GN2025.02 | 33.8 | 12.3 | — | — | |
| Pre-trained BaselineBackbone=IBN-ResNet-502020.01 | 32.6 | 11.9 | 44.7 | 50.4 | |
| AE2020.06 | 32.3 | 11.7 | 44.4 | 50.1 | |
| SSG2020.01 | 32.2 | 13.3 | — | 51.2 | |
| SSGtraining=unsupervised cross-domain2020.07 | 32.2 | 13.3 | — | 51.2 | |
| SSG2020.06 | 32.2 | 13.3 | — | 51.2 | |
| SSGSource pre-training=true2021.03 | 32.2 | 13.3 | — | 51.2 | |
| SSGSource Dataset=DukeMTMC-reID, Protocol=Unsupervised Domain Adaptation2018.11 | 32.2 | 13.3 | — | 51.2 | |
| CCSESource pre-training=false2021.03 | 31.4 | 9.9 | 41.4 | 45.7 | |
| SpCLSource pre-training=true2021.03 | 31 | — | 58.1 | — | |
| ENC2020.01 | 30.2 | 10.2 | 41.5 | 46.8 | |
| ECNtraining=unsupervised cross-domain2020.07 | 30.2 | 10.2 | 41.5 | 46.8 | |
| ECN2020.06 | 30.2 | 10.2 | 41.5 | 46.8 | |
| ECNSource pre-training=true2021.03 | 30.2 | 10.2 | 41.5 | 46.8 | |
| QAConv2025.02 | 29 | 8.9 | — | — | |
| Pre-trained BaselineBackbone=ResNet-502020.01 | 27 | 9.4 | 38.1 | 43.7 | |
| PTGAN2020.01 | 11.8 | 3.3 | — | 27.4 | |
| PTGANtraining=unsupervised cross-domain2020.07 | 11.8 | 3.3 | — | 27.4 | |
| RPTGAN2020.06 | 11.8 | 3.3 | — | 27.4 | |
| PTGANSource Dataset=DukeMTMC-reID, Protocol=Unsupervised Domain Adaptation2018.11 | 11.8 | 3.3 | — | 27.4 |