Table 2. Face recognition model information.
| Models | Basic structure |
Loss function |
Parameter count (M) |
Recognition threshold |
TAR/1-FAR |
|---|---|---|---|---|---|
| ArcFace | IR-SE50 | ArcFace | 43.8 | 0.284 | 98.9%/99.8% |
| FaceNet-VGGFace2 | IncResV1 | Triplet | 27.91 | 0.421 | 98.9%/99.0% |
| MobileNet-stride1 | MobileNet | CosFace | 3.78 | 0.158 | 98.8%/99.4% |
| ShuffleNetV1 | ShuffleNetV1 | CosFace | 1.46 | 0.191 | 99.0%/99.5% |
| ResNet50 | ResNet50 | CosFace | 40.29 | 0.191 | 99.4%/99.8% |
| IR50-CosFace | IResNet50 | CosFace | 43.57 | 0.224 | 99.4%/99.9% |
| IR50-ArcFace | IResNet50 | ArcFace | 43.57 | 0.277 | 99.4%/99.9% |
| IR50-SphereFace | IResNet50 | SphereFace | 43.57 | 0.362 | 99.4%/99.6% |
| SphereFace | Shere20 | SphereFace | 28.08 | 0.349 | 97.5%/98.1% |
| CosFace | Shere20 | CosFace | 22.67 | 0.246 | 98.3%/98.3% |
| MobileFace | MobileFaceNet | CosFace | 1.20 | 0.211 | 99.1%/99.6% |
| Face++ API | 0.62327 | 99.3%/100% | |||
| Aliyun API | 0.61 | 99.2%/100% | |||
| Tencent API | 0.40 | 99.4%/100% |