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 2 不同损失函数在不同基础网络上的性能比较 |
| Tab.2 Performance comparison of different loss functions over different networks |
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| % | | 网络 | 损失函数 | Rank1 | mAP | | OSNet | Soft-max | 93.2 | 83.5 | | OSNet | AM-Soft-max | 94.1 | 84.5 | | OSNet | Arc-Soft-max | 94.3 | 84.9 | | OSNet | Soft-max+Center | 94.8 | 85.1 | | OSNet | Soft-max+Triplet | 95.3 | 87.5 | | OSNet | Energy-Loss | 95.7 | 88.1 | | ResNet50 | Soft-max | 93.6 | 83.8 | | ResNet50 | AM-Soft-max | 94.4 | 84.7 | | ResNet50 | Arc-Soft-max | 94.7 | 85.2 | | ResNet50 | Soft-max+Center | 94.9 | 86.2 | | ResNet50 | Soft-max+Triplet | 95.4 | 88.1 | | ResNet50 | Energy-Loss | 95.9 | 88.5 | | ResNet50-NL | Soft-max | 94.3 | 84.2 | | ResNet50-NL | AM-Soft-max | 94.5 | 85.3 | | ResNet50-NL | Arc-Soft-max | 95.1 | 85.9 | | ResNet50-NL | Soft-max+Center | 95.2 | 86.8 | | ResNet50-NL | Soft-max+Triplet | 95.6 | 88.2 | | ResNet50-NL | Energy-Loss | 96.1 | 88.7 |
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