Face Verification on MegaFace Challenge 1
99.1TAR (@10^-6 FAR)PPRN
Evaluation Results
| Method | Links | |
|---|---|---|
| PPRNTraining Dataset=Glint360K, Loss Function=CosFace, Sampling Rate (r)=0.12020.10 | 99.1 | |
| PPRNTraining Dataset=Glint360K, Loss Function=CosFace, Sampling Rate (r)=1.02020.10 | 98.98 | |
| GroupFaceLoss Function=GroupFace2020.10 | 98.79 | |
| CircleLossLoss Function=CircleLoss2020.10 | 98.73 | |
| CurricularFaceLoss Function=CurricularFace2020.10 | 98.64 | |
| PPRNTraining Dataset=MS1MV2, Loss Function=ArcFace, Sampling Rate (r)=1.02020.10 | 98.59 | |
| PPRNTraining Dataset=MS1MV2, Loss Function=CosFace, Sampling Rate (r)=1.02020.10 | 98.58 | |
| PPRNTraining Dataset=MS1MV2, Loss Function=CosFace, Sampling Rate (r)=0.12020.10 | 98.49 | |
| ArcFaceLoss Function=ArcFace (0.5)2020.10 | 98.48 | |
| PPRNTraining Dataset=MS1MV2, Loss Function=ArcFace, Sampling Rate (r)=0.12020.10 | 98.03 | |
| CosFace(3-patch ensemble)Protocol=Large2018.01 | 97.96 | |
| CosFaceLoss Function=CosFace (0.35)2020.10 | 97.91 | |
| CosFace(Single-patch)Protocol=Large2018.01 | 96.65 | |
| DeepSense V2Protocol=Large2018.01 | 95.99 | |
| Vocord - deepVo V3Protocol=Large2018.01 | 94.96 | |
| CosFace(3-patch ensemble)Protocol=Small2018.01 | 92.22 | |
| YouTu LabProtocol=Large2018.01 | 91.34 | |
| SphereFace - SmallProtocol=Small2018.01 | 90.04 | |
| CosFace(Single-patch)Protocol=Small2018.01 | 89.88 | |
| SIATMMLAB Tencent VisionProtocol=Large2018.01 | 87.27 | |
| Google - FaceNet v8Protocol=Large2018.01 | 86.47 | |
| NTechLAB - facenx_largeProtocol=Large2018.01 | 85.08 | |
| DeepSense - SmallProtocol=Small2018.01 | 82.85 | |
| FUDAN-CS_SDSProtocol=Small2018.01 | 79.19 | |
| Beijing FaceAll V2Protocol=Small2018.01 | 77.6 | |
| SIAT_MMLABProtocol=Small2018.01 | 76.72 | |
| GRCCVProtocol=Small2018.01 | 74.88 | |
| Beijing FaceAll_Norm_1600Protocol=Large2018.01 | 67.11 |