Research Article
Feature Guided CNN for Baby’s Facial Expression Recognition
Table 4
The expression recognition performance of different methods on the BabyExp dataset (trained from scratch).
| Models | Happy | Sad | Normal | Average accuracy | Recall | Precision | F1 | Recall | Precision | F1 | Recall | Precision | F1 |
| DLP [31] | 62.25 | 66.76 | 64.42 | 53.04 | 82.96 | 64.90 | 79.70 | 56.20 | 65.92 | 65.02 | Baseline [25] | 65.13 | 80.53 | 72.01 | 82.24 | 88.86 | 85.42 | 91.21 | 72.18 | 80.59 | 79.57 | SO-DL | 52.75 | 92.34 | 67.14 | 93.91 | 85.52 | 89.52 | 97.03 | 73.13 | 83.40 | 81.31 | SO-DLSE | 59.62 | 91.73 | 72.27 | 93.54 | 89.22 | 91.33 | 96.04 | 73.98 | 83.58 | 83.13 | VFESO-DLSE | 78.5 | 93.18 | 85.21 | 96.27 | 85.07 | 90.33 | 88.86 | 86.71 | 87.78 | 87.90 |
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