基于时空注意力机制的轻量级脑纹识别算法
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方芳,严军,郭红想,王勇
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Lightweight brainprint recognition algorithm based on spatio-temporal attention mechanism
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Fang FANG,Jun YAN,Hongxiang GUO,Yong WANG
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| 表 4 消融实验结果的比较 |
| Tab.4 Comparison of result of ablation experiment |
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| 模型 | (ACC±std)/% | | Physionet-MI | Physionet-EO | Physionet-EC | DEAP | | EEGNet | 79.79±2.49 | 72.86±3.21 | 70.95±3.45 | 97.53±0.25 | | VEEGNet | 80.83±2.21 | 74.18±3.03 | 72.66±3.22 | 99.89±0.20 | | CA+EEGNet | 81.00±2.06 | 75.53±2.89 | 73.28±2.95 | 99.93±0.17 | | EEGNet+LTAE | 96.01±0.89 | 89.28±1.96 | 90.21±2.01 | 99.54±0.18 | | CA+VEEGNet | 90.54±1.52 | 80.76±2.45 | 75.37±2.78 | 99.93±0.15 | | VEEGNet+LTAE | 98.25±0.48 | 94.85±1.55 | 94.85±1.72 | 99.97±0.08 | | CA+EEGNet+LTAE | 98.18±0.52 | 91.63±1.72 | 92.11±1.89 | 99.96±0.09 | | Proposed | 98.34±0.41 | 96.47±1.45 | 96.74±1.63 | 99.98±0.06 |
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