Research Article
MAM: Multiple Attention Mechanism Neural Networks for Cross-Age Face Recognition
Table 7
ACC of the proposed MAM-CNN and other methods on CACD-VS dataset.
| Model | ACC (%) |
| HFA [8] | 84.42 | CARC [20] | 87.57 | MEFA [10] | 88.64 | FaceNet [13] | 89.88 | LF-CNNs [16] | 98.59 | AE-CNNs [15] | 98.85 | ResNet-50(fine-tuned by MORPH) | 95.31 | Residual attention ResNet50 with HRC | 98.38 | Residual attention ResNet50 with HRC + self-attention | 98.87 | MAM-CNN | 99.36 |
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