Person Re-identification on i-LIDS (test)
87Top-1 AccuracyBaseline-SNR
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Baseline-SNRSource=M + D + C + MT, Training Samples=220k2020.05 | 87 | — | — | — | — | — | 91.9 | |
| Baseline-SNRSource=Market1501 (M) + Duke (D) + CUHK03 (C), Training Samples=93.7k2020.05 | 86.7 | — | — | — | — | — | 91 | |
| BaselineSource=M + D + C + MT, Training Samples=220k2020.05 | 85 | — | — | — | — | — | 89 | |
| RaMoESource=All2022.03 | 85 | — | — | — | — | — | 90.2 | |
| DFFSource=All w/o D2022.03 | 83.6 | — | — | — | — | — | 88.3 | |
| Baseline-SNRSource=MSMT17 (MT), Training Samples=126k2020.05 | 81.9 | — | — | — | — | — | 87.7 | |
| TransMatcherVenue=Ours, Backbone=ResNet-502021.05 | 81.8 | — | — | — | — | — | 87.8 | |
| BCaR + DNVenue=BMVC’20, Backbone=ResNet-502021.05 | 81.3 | — | — | — | — | — | — | |
| Baseline-SNRSource=Market1501 (M) + Duke (D), Training Samples=65.5k2020.05 | 80 | — | — | — | — | — | 85.2 | |
| BCaR + DNVenue=BMVC’20, Backbone=MobileNetV22021.05 | 80 | — | — | — | — | — | — | |
| MetaBINSource=All2022.03 | 79.7 | — | — | — | — | — | 85.5 | |
| Person30KSource=All2022.03 | 79.3 | — | — | — | — | — | 83.9 | |
| QAConv-GSVenue=arXiv’21, Backbone=ResNet-502021.05 | 79.2 | — | — | — | — | — | 85.4 | |
| DDANVenue=AAAI’21, Backbone=MobileNetV22021.05 | 78.5 | — | — | — | — | — | 81.5 | |
| DualNormVenue=BMVC’19, Backbone=ResNet-502021.05 | 78.2 | — | — | — | — | — | — | |
| DDAN + DNVenue=AAAI’21, Backbone=MobileNetV22021.05 | 78 | — | — | — | — | — | 81.2 | |
| DDANSource=All2022.03 | 78 | — | — | — | — | — | 81.2 | |
| TransMatcherVenue=Ours, Backbone=MobileNetV22021.05 | 77.8 | — | — | — | — | — | 84.2 | |
| SNRSource=All2022.03 | 77.3 | — | — | — | — | — | 84 | |
| QAConv-GSVenue=arXiv’21, Backbone=MobileNetV22021.05 | 75.7 | — | — | — | — | — | 82.3 | |
| CBNSource=All2022.03 | 75.3 | — | — | — | — | — | 79.4 | |
| QAConv50Source=All w/o D2022.03 | 75 | — | — | — | — | — | 81.9 | |
| DualNormVenue=BMVC’19, Backbone=MobileNetV22021.05 | 74.8 | — | — | — | — | — | 78.5 | |
| MetaBINSource=All w/o D2022.03 | 74.7 | — | — | — | — | — | 82.7 | |
| DIR-ReIDSource=All2022.03 | 74.4 | — | — | — | — | — | 78.6 | |
| DIMNVenue=CVPR’19, Backbone=MobileNetV22021.05 | 70.2 | — | — | — | — | — | 78.4 | |
| DIMNSource=All2022.03 | 70.2 | — | — | — | — | — | 78.4 | |
| Baseline-SNRSource=Duke (D), Training Samples=32.9k2020.05 | 68.7 | — | — | — | — | — | 79.3 | |
| BCaRVenue=BMVC’20, Backbone=MobileNetV22021.05 | 68.7 | — | — | — | — | — | — | |
| BaselineSource=MSMT17 (MT), Training Samples=126k2020.05 | 66.7 | — | — | — | — | — | 74 | |
| BaselineSource=Market1501 (M) + Duke (D) + CUHK03 (C), Training Samples=93.7k2020.05 | 66.3 | — | — | — | — | — | 77.1 | |
| BaselineSource=Market1501 (M) + Duke (D), Training Samples=65.5k2020.05 | 65 | — | — | — | — | — | 74.3 | |
| M³LSource=All w/o D2022.03 | 65 | — | — | — | — | — | 74.3 | |
| CDELSource=All2022.03 | 62.3 | — | — | — | — | — | — | |
| BaselineSource=Duke (D), Training Samples=32.9k2020.05 | 58.3 | — | — | — | — | — | 68.3 | |
| Baseline-SNRSource=Market1501 (M), Training Samples=32.6k2020.05 | 56.7 | — | — | — | — | — | 65.6 | |
| BaselineSource=Market1501 (M), Training Samples=32.6k2020.05 | 53.3 | — | — | — | — | — | 61.5 | |
| Deep Feature Learning with Relative Distance Comparison2015.12 | 52.1 | 68.2 | 78 | 83.6 | 88.8 | 95 | — | |
| PRDC2015.12 | 37.8 | 63.7 | 75.1 | 82.8 | 88.4 | 95 | — | |
| MCC2015.12 | 31.3 | 59.3 | 75.6 | 84 | 88.3 | 95 | — | |
| L1-norm2015.12 | 30.7 | 55 | 68 | 75 | 83 | 90 | — | |
| Adaboost2015.12 | 29.6 | 55.2 | 68.1 | 77 | 82.4 | 92.1 | — | |
| ITML2015.12 | 29 | 54 | 70.5 | 81 | 86.7 | 95 | — | |
| Bhat.2015.12 | 28.4 | 51.1 | 64.3 | 72 | 78.8 | 89 | — | |
| LMNN2015.12 | 28 | 53.8 | 66.1 | 75.5 | 82.3 | 91 | — | |
| Xing's2015.12 | 27 | 52.3 | 63.4 | 74.8 | 80.7 | 93 | — | |
| PLS2015.12 | 22.1 | 46 | 60 | 70 | 78.7 | 87.5 | — |