Face Recognition on CFP
99.38AccuracyFC-R100
Evaluation Results
| Method | Links | |
|---|---|---|
| FC-R100Training Dataset=Webface42M, Backbone=ResNet-1002021.05 | 99.38 | |
| F2C-R100Training Dataset=Webface42M, Backbone=ResNet-1002021.05 | 99.33 | |
| FC-R50Training Dataset=Glint360k, Backbone=ResNet-502021.05 | 99.07 | |
| FC-R50Training Dataset=MS1MV2, Backbone=ResNet-502021.05 | 98.8 | |
| F2C-R50Training Dataset=MS1MV2, Backbone=ResNet-502021.05 | 98.46 | |
| ResNet100param=65.2M, Bits=FP32, Size (MB)=261.222022.06 | 98.4 | |
| upper-boundarysource=reproduced by authors2021.05 | 98.39 | |
| ResNet100param=65.2M, Quantization data=Real data, Bits=w8a82022.06 | 98.31 | |
| F2C-R50Training Dataset=Glint360k, Backbone=ResNet-502021.05 | 98.3 | |
| F2CTraining Data=1% of MS1M identities2021.05 | 98.25 | |
| DCQTraining Data=1% of MS1M identities2021.05 | 98.16 | |
| QuantFaceBackbone=ResNet100, Quantization data=Synthetic data, Bits=w8a82022.06 | 98.14 | |
| Partial-FCTraining Data=1% of MS1M identities2021.05 | 98.13 | |
| ResNet50param=43.6M, Bits=FP322022.06 | 98.01 | |
| ResNet50Quantization data=Real data, Bits=w8a82022.06 | 97.7 | |
| QuantFaceBackbone=ResNet50, Quantization data=Synthetic data, Bits=w8a82022.06 | 97.43 | |
| F2C-MobileTraining Dataset=MS1MV2, Backbone=Mobile2021.05 | 97.16 | |
| FC-MobileTraining Dataset=MS1MV2, Backbone=Mobile2021.05 | 96.94 | |
| VFCTraining Data=1% of MS1M identities2021.05 | 95.77 | |
| QuantFaceBackbone=ResNet50, Quantization data=Synthetic data, Bits=w6a62022.06 | 95.17 | |
| ResNet50Quantization data=Real data, Bits=w6a62022.06 | 95 | |
| ResNet18param=24.0M, Bits=FP322022.06 | 94.47 | |
| ResNet18Quantization data=Real data, Bits=w8a82022.06 | 94.46 | |
| QuantFaceBackbone=ResNet18, Quantization data=Synthetic data, Bits=w8a82022.06 | 94.04 | |
| QuantFaceBackbone=ResNet18, Quantization data=Synthetic data, Bits=w6a62022.06 | 93.34 | |
| TCP2021.05 | 93.27 | |
| ResNet18Quantization data=Real data, Bits=w6a62022.06 | 93.23 | |
| lower-boundarysource=excerpted from VFC paper2021.05 | 91.66 | |
| MobileFaceNetparam=1.1M, Bits=FP322022.06 | 91.59 | |
| MobileFaceNetQuantization data=Real data, Bits=w8a82022.06 | 91.4 | |
| QuantFaceBackbone=ResNet100, Quantization data=Synthetic data, Bits=w6a62022.06 | 91 | |
| QuantFaceBackbone=MobileFaceNet, Quantization data=Synthetic data, Bits=w8a82022.06 | 90.84 | |
| ResNet100param=65.2M, Quantization data=Real data, Bits=w6a62022.06 | 89.14 | |
| MobileFaceNetQuantization data=Real data, Bits=w6a62022.06 | 87.69 | |
| QuantFaceBackbone=MobileFaceNet, Quantization data=Synthetic data, Bits=w6a62022.06 | 87.64 |