Open Access
表4
与当前优秀算法的比较以及基于不同深度模型的实验结果
| 数据集 | 方法 | 准确率/% | 检索性能 | |||||
| mAP↑ | FT↑ | ST↑ | NN↑ | DCG↑ | ANMRR↓ | |||
| FI | Yang[9] | 67.64 | 0.488 5 | 0.483 4 | 0.697 8 | 0.602 3 | 0.780 2 | 0.313 5 |
| Yao[10] | 68.37 | 0.731 9 | 0.696 6 | 0.789 2 | 0.672 7 | 0.819 7 | 0.210 0 | |
| Yao[11] | 0.734 4 | 0.698 5 | 0.781 7 | 0.661 3 | 0.811 4 | 0.220 1 | ||
| Yao[12] | 0.743 3 | 0.707 5 | 0.799 4 | 0.675 5 | 0.825 0 | 0.210 6 | ||
| 本文(AlexNet) | 61.74 | 0.424 7 | 0.421 4 | 0.587 9 | 0.587 1 | 0.575 2 | 0.526 8 | |
| 本文(VGGNet) | 67.27 | 0.711 4 | 0.511 0 | 0.792 4 | 0.599 1 | 0.787 2 | 0.229 8 | |
| 本文(ResNet) | 68.07 | 0.746 7 | 0.712 1 | 0.806 2 | 0.682 4 | 0.828 7 | 0.207 4 | |
| Emotion6 | 本文(AlexNet) | 52.75 | 0.479 2 | 0.603 2 | 0.596 5 | 0.515 7 | 0.688 4 | 0.507 4 |
| 本文(VGGNet) | 56.58 | 0.541 1 | 0.615 3 | 0.641 8 | 0.528 6 | 0.722 8 | 0.431 9 | |
| 本文(ResNet) | 57.29 | 0.569 4 | 0.631 7 | 0.649 5 | 0.559 6 | 0.813 2 | 0.317 9 | |
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