Table 2. Performance comparison with literature on the FER-2013 dataset.
| Methodology | Accuracy (%) |
|---|---|
| AlexNet + FC6 + LDA (Fei et al., 2020) | 56.40 |
| MobileNet with Softmax + Center loss (Miao et al., 2019) | 68.31 |
| LiveEmoNet (Podder, Bhattacharya & Majumdar, 2022b) | 68.96 |
| Dense_FaceLiveNet (Hung, Lin & Lai, 2019) | 70.02 |
| Lightweight CNN (Podder, Bhattacharya & Majumdar, 2022a) | 68.93 |
| DenseNet201 (Huang et al., 2017) | 68.52 |
| VGG16 (Simonyan & Zisserman, 2014) | 65.80 |
| InceptionV3 (Szegedy et al., 2016) | 68.62 |
| Proposed method | 70.21 |