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Figure 9.

Results for ResNet
| Metrics | Value |
|---|---|
| Accuracy | 0.7884615384615384 |
| Time | 38s |
Accuracy achieved
| Study | Accuracy (%) |
|---|---|
| Zhou et al. [1] | 99.50% |
| Iqbal et al. [2] | 96.40% |
| Balaban [3] | 99.63% |
| Sun et al. [4] | 67% |
Results for A-ResNet
| Metrics | Value |
|---|---|
| Accuracy | 0.9169230769230769 |
| Time | 50s |
Records of combination for A-ResNet
| Epochs | Batch size | True Positive | Train FPS |
|---|---|---|---|
| 24 | 64 | 70 | 151.9 |
| 24 | 128 | 81 | 170.4 |
| 32 | 128 | 85 | 254.4 |
| 32 | 256 | 76 | 209.8 |
| 64 | 256 | 76 | 194.3 |
Records of combination for ResNet
| Epochs | Batch size | True Positive | Train FPS |
|---|---|---|---|
| 10 | 16 | 20 | 426.4 |
| 24 | 16 | 25 | 421.7 |
| 24 | 32 | 40 | 278.6 |
| 24 | 64 | 74 | 151.2 |
| 32 | 64 | 70 | 160.7 |
| 24 | 128 | 79 | 148.9 |
| 32 | 128 | 76 | 232.4 |
| 24 | 256 | 69 | 182.5 |
| 32 | 256 | 76 | 192.8 |
| 64 | 256 | 75 | 154.3 |
Recognition rate based on LFW database
| Recognition at 45 px | Correct Times | Wrong Times | Correct Image Accuracy | Incorrect Image Accuracy |
|---|---|---|---|---|
| Front facing | 87 | 17 | 83.65% | 16.35% |
| Facing 30’ Right | 89 | 15 | 85.57% | 14.43% |
| Facing 30’ Left | 91 | 13 | 87.50% | 12.5% |