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 3 VehileID数据集上本研究方法与同类方法的识别准确率对比 |
Tab.3 Accuracy comparison of proposed method with other methods on VehicleID dataset |
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方法 | Small | | Medium | | Large | mAP | Rank1 | mAP | Rank1 | mAP | Rank1 | QD-DLF[11] | − | 74.69 | | − | 68.62 | | − | 63.54 | Part-Reg[10] | 76.54 | 72.32 | | 74.63 | 70.66 | | 68.41 | 64.14 | AAVER[9] | 61.50 | 78.40 | | − | 75.00 | | − | 74.20 | GSTE[6] | 75.40 | 75.90 | | 74.30 | 74.80 | | 72.40 | 74.00 | VANet[8] | − | 88.12 | | − | 83.17 | | − | 80.35 | LML(IDS) | 86.60 | 88.25 | | 83.55 | 83.42 | | 78.38 | 80.33 | LML(IDS)+ KER | 88.75 | 88.31 | | 84.45 | 83.85 | | 80.68 | 80.75 |
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