Face Identification on MegaFace 1M distractors 1.0 (test)
96.2Rank-1 AccuracyDRConv-MobileFaceNet
Evaluation Results
| Method | Links | |
|---|---|---|
| DRConv-MobileFaceNetMADDs (x10^6)=2012020.03 | 96.2 | |
| Local-MobileFaceNetMADDs (x10^6)=1892020.03 | 94.9 | |
| CondConv-MobileFaceNetMADDs (x10^6)=1952020.03 | 94.8 | |
| Vocord - deepVo V3Protocol=Large2018.01 | 91.76 | |
| MobileFaceNetMADDs (x10^6)=1892020.03 | 91.3 | |
| CosFace(3-patch ensemble)Protocol=Large2018.01 | 84.26 | |
| YouTu LabProtocol=Large2018.01 | 83.29 | |
| CosFace(Single-patch)Protocol=Large2018.01 | 82.72 | |
| DeepSense V2Protocol=Large2018.01 | 81.29 | |
| CosFace(3-patch ensemble)Protocol=Small2018.01 | 79.54 | |
| FUDAN-CS_SDSProtocol=Small2018.01 | 77.98 | |
| GRCCVProtocol=Small2018.01 | 77.67 | |
| CosFace(Single-patch)Protocol=Small2018.01 | 77.11 | |
| Beijing FaceAll V2Protocol=Small2018.01 | 76.66 | |
| SphereFace (3-patch ensemble)protocol=Small2017.04 | 75.766 | |
| SphereFace - SmallProtocol=Small2018.01 | 75.76 | |
| Vocord - Deep Volprotocol=Large2017.04 | 75.127 | |
| Deepsense - Largeprotocol=Large2017.04 | 74.799 | |
| SIATMMLAB Tencent VisionProtocol=Large2018.01 | 74.2 | |
| Shanghai Techprotocol=Large2017.04 | 74.049 | |
| NTechLAB - facenx largeprotocol=Large2017.04 | 73.3 | |
| NTechLAB - facenx_largeProtocol=Large2018.01 | 73.3 | |
| SphereFace (single model)protocol=Small2017.04 | 72.729 | |
| Deepsense - Smallprotocol=Small2017.04 | 70.983 | |
| DeepSense - SmallProtocol=Small2018.01 | 70.98 | |
| Google - FaceNet v8protocol=Large2017.04 | 70.496 | |
| Google - FaceNet v8Protocol=Large2018.01 | 70.49 | |
| L-Softmax Lossprotocol=Small2017.04 | 67.128 | |
| Softmax+Center Lossprotocol=Small2017.04 | 65.494 | |
| SIAT_MMLABprotocol=Small2017.04 | 65.233 | |
| SIAT_MMLABProtocol=Small2018.01 | 65.23 | |
| Softmax+Contrastive Lossprotocol=Small2017.04 | 65.219 | |
| Beijing FaceAll_Norm_1600protocol=Large2017.04 | 64.804 | |
| Beijing FaceAll_Norm_1600Protocol=Large2018.01 | 64.8 | |
| Triplet Lossprotocol=Small2017.04 | 64.797 | |
| Beijing FaceAll_1600protocol=Large2017.04 | 63.977 | |
| Barebones FR - cnnprotocol=Small2017.04 | 59.363 | |
| NTechLAB - facenx_smallprotocol=Small2017.04 | 58.218 | |
| Softmax Lossprotocol=Small2017.04 | 54.855 | |
| 3DiVi Company - tdvm6protocol=Small2017.04 | 33.705 |