模型 | 测试集的准确率 | 相较ReLU + Jeon’s准确率提高度 |
ReLU + Jeon’s | 70.74% | - |
L-ReLU + Jeon’s | 70.88% | +0.14% |
P-ReLU + Jeon’s | 70.99% | +0.25% |
Swish + Jeon’s | 73.54% | +2.80% |
Swish-FER-CNNs | 74.76% | +4.02% |