基于大边距度量学习的车辆再识别方法
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张师林,马思明,顾子谦
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Large margin metric learning based vehicle re-identification method
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Shi-lin ZHANG,Si-ming MA,Zi-qian GU
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| 表 1 在不同数据集上的消融分析 |
| Tab.1 Ablation study on different datasets |
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| 数据库 | 方法 | Rank1 | Rank5 | mAP | | Veri-776 | Res | 94.35 | 97.30 | 72.10 | | OS | 94.61 | 97.50 | 72.50 | | OS+BN | 95.40 | 97.90 | 74.50 | | OS+BN+LML | 95.60 | 97.95 | 75.10 | | OS+BN+LML+IDS | 96.45 | 98.68 | 80.55 | | OS+BN+LML+IDS+KER | 96.81 | 98.95 | 80.95 | | VehicleID | Res | 85.45 | 94.93 | 77.22 | | OS | 85.62 | 95.05 | 77.41 | | OS+BN | 85.92 | 95.12 | 78.45 | | OS+BN+LML | 85.95 | 95.15 | 80.58 | | OS+BN+LML+IDS | 88.25 | 97.45 | 86.88 | | OS+BN+LML+IDS+KER | 88.35 | 98.22 | 88.78 |
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