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 5 本研究算法与同类算法运行效率的比较分析 |
Tab.5 Time efficiency comparison of proposed method with other methods |
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方法 | mAP | p /M | e | v /(ms·image−1) | QD-DLF[11] | 61.83 | 24 | − | 11.19 | Part-Reg[10] | 74.30 | 48 | 130 | − | AAVER[9] | 61.20 | 48 | 120 | − | GSTE[6] | 59.40 | 24 | − | − | VANet[8] | 66.34 | 24 | 200 | − | LML(Res,Hard) | 80.35 | 24 | 150 | 1.67 | LML(Res,IDS) | 80.50 | 24 | 110 | 1.67 | LML(OS,Hard) | 80.46 | 2.7 | 150 | 1.12 | LML(OS,IDS) | 80.55 | 2.7 | 110 | 1.12 |
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