Vehicle Re-identification on VeRi
61.83mAPQD-DLF
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| QD-DLF2018.11 | 61.83 | 88.5 | 94.46 | — | |
| Siamese-CNN+Path-LSTM2018.11 | 58.27 | 83.49 | 90.04 | — | |
| PROVID2018.11 | 53.42 | 81.56 | 95.11 | — | |
| NuFACTAuxiliary Information=Plate-SNN2018.11 | 50.87 | 81.11 | 92.79 | — | |
| NuFACTAuxiliary Information=Plate-REC2018.11 | 48.55 | 76.88 | 91.42 | — | |
| NuFACT2018.11 | 48.47 | 76.76 | 91.42 | — | |
| DenseNet1212018.11 | 45.06 | 80.27 | 91.12 | — | |
| BMMTask Model=IDE, Configuration=Searched via BMM2026.01 | 42.18 | 77.19 | — | 15.32 | |
| BMMTask Model=IDE, Pruning Rate=20% IDs2026.01 | 42.05 | 75.36 | — | 15.72 | |
| BMMTask Model=IDE, Pruning Rate=5% IDs2026.01 | 38.55 | 72.69 | — | 15.98 | |
| SCCNTraining Config=Ft+CLBL-8-Ft2018.11 | 25.12 | 60.83 | 78.55 | — | |
| data serverTask Model=IDE2026.01 | 25.03 | 55.9 | — | 24.39 | |
| ABLNTraining Config=Ft-162018.11 | 24.92 | 60.49 | 77.33 | — | |
| FACT2018.11 | 18.75 | 52.21 | 72.88 | — | |
| GoogLeNet2018.11 | 17.89 | 52.32 | 72.17 | — | |
| VGG-CNN-M-10242018.11 | 12.76 | 44.1 | 62.63 | — | |
| BOW-CN2018.11 | 12.2 | 33.91 | 53.69 | — | |
| LOMO2018.11 | 9.64 | 25.33 | 46.48 | — | |
| BOW-SFIT2018.11 | 1.51 | 1.91 | 4.53 | — |