Tao Zhou, Xiaoqi Lü, Guoyin Ren, Yu Gu, Ming Zhang, Jing Li. Facial Expression Classification Based on Ensemble Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141501
- Laser & Optoelectronics Progress
- Vol. 57, Issue 14, 141501 (2020)
Fig. 1. Model structure of VGGNet-19GP
Fig. 2. Model structure of EnsembleNet
Fig. 3. Example images from the CK+ dataset
Fig. 4. Example images from the FER2013 dataset
Fig. 5. Schematic of the training set data enhancement
Fig. 6. Schematic of the test set data enhancement
Fig. 7. Result graphs of simple average experiment. Comparison of the average accuracy of EnsembleNet, ResNet-18, and VGGNet-19GP under (a) PublicTest and (b) PrivateTest with the increase of epoch
Fig. 8. Result graphs of weighted average.Fluctuations of EnsembleNet with the change of ResNet-18 weights under (a) PublicTest and (b) PrivateTest, and the comparison with ResNet-18 and VGGNet-19GP
Fig. 9. VGGNet-19GP, ResNet-18, and EnsembleNet accuracy curves on PublicTest dataset
Fig. 10. VGGNet-19GP, ResNet-18, and EnsembleNet accuracy curves on PrivateTest dataset
Fig. 11. VGGNet-19GP, ResNet-18, and EnsembleNet accuracy curves on CK+ dataset
Fig. 12. Confusion matrix of EnsembleNet on the FER2013 dataset. (a) PublicTest Confusion Matrix; (b) PrivateTest Confusion Matrix
Fig. 13. Confusion matrix of EnsembleNet on the CK+ dataset
Fig. 14. Examples of correct classification and misclassification of PrivateTest
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Table 1. Average accuracy on the FER2013 and CK+ datasets%
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Table 2. Comparison of proposed model with existing methods on the FER2013 and CK+datasets
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