基于能量模型的行人与车辆再识别方法
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张师林,郭红南,刘轩
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Person and vehicle re-identification based on energy model
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Shi-lin ZHANG,Hong-nan GUO,Xuan LIU
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表 4 在VehicleID 数据集上与最好方法的Rank1 和mAP指标对比 |
Tab.4 Rank1 and mAP performance comparison with state of art methods on VehicleID |
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% | 方法 | VehicleID Small | | VehicleID Medium | | VehicleID Large | Rank1 | mAP | Rank1 | mAP | Rank1 | mAP | CLVR[32] | 62.00 | — | | 56.10 | — | | 50.60 | — | VANet[33] | 88.12 | — | 83.17 | — | 80.45 | — | RAM[34] | 75.20 | — | 72.30 | — | 67.70 | — | ABLN[35] | 52.63 | — | — | — | — | — | VAMI[36] | 63.12 | — | 52.87 | — | 47.34 | — | NuFACT[37] | 48.90 | — | 43.64 | — | 38.63 | — | AAVER[38] | 74.69 | — | 68.62 | — | 63.54 | — | QD-DLF[39] | 72.32 | 76.54 | 70.66 | 74.63 | 64.14 | 68.41 | Part-Reg[40] | 78.40 | 61.50 | 75.00 | — | 74.20 | — | GSTE[41] | 75.90 | 75.40 | 74.80 | 74.30 | 74.00 | 72.40 | Energy-Loss | 89.75 | 85.82 | 84.58 | 81.35 | 81.15 | 77.68 |
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