Face Verification on MegaFace FaceScrub probe Challenge 1
99.08TAR @ FAR=1e-6ArcFace
Evaluation results
| Method | Links | |
|---|---|---|
| ArcFaceProtocol=Large, Backbone=ResNet-100, Training Data=IBUG-500K, Data Refinement=true2018.01 | 99.08 | |
| BroadFaceProtocol=Large, Data Refinement=true2018.01 | 98.95 | |
| MC-FaceGraphProtocol=Large, Data Refinement=true2018.01 | 98.94 | |
| GroupFaceProtocol=Large, Data Refinement=true2018.01 | 98.79 | |
| ArcFaceProtocol=Large, Backbone=ResNet-100, Training Data=MS1MV3, Data Refinement=true2018.01 | 98.74 | |
| CircleLossProtocol=Large, Data Refinement=true2018.01 | 98.73 | |
| CurricularFaceProtocol=Large, Data Refinement (R)=true, Backbone=ResNet-1002020.04 | 98.64 | |
| SFaceProtocol=Large, Backbone=ResNet-100, Training Dataset=MS1MV2, Data Refinement (R)=true2022.05 | 98.61 | |
| ArcFaceProtocol=Large, Data Refinement (R)=true, Backbone=ResNet-1002020.04 | 98.48 | |
| ArcFaceProtocol=Large, Backbone=ResNet-100, Training Dataset=MS1MV2, Data Refinement (R)=true2022.05 | 98.48 | |
| CurricularFaceProtocol=Large, Data Refinement (R)=true, Backbone=ResNet-502020.04 | 98.44 | |
| CurricularFaceProtocol=Large, Data Refinement=true2018.01 | 98.44 | |
| MV-SoftmaxProtocol=Large, Data Refinement=true2018.01 | 98.31 | |
| CosFaceProtocol=Large, Data Refinement (R)=true, Backbone=ResNet-1002020.04 | 97.91 | |
| CosFaceProtocol=Large, Backbone=ResNet-100, Training Dataset=MS1MV2, Data Refinement (R)=true2022.05 | 97.91 | |
| Search-SoftmaxProtocol=Large, Data Refinement=true2018.01 | 97.84 | |
| MV-Arc-SoftmaxProtocol=Large, Data Refinement (R)=true, Backbone=ResNet-100, Is_Reimplemented=true2020.04 | 97.8 | |
| ArcFaceProtocol=Large, Backbone=ResNet-100, Training Data=IBUG-500K, Data Refinement=false2018.01 | 97.63 | |
| MV-Arc-SoftmaxProtocol=Large, Data Refinement (R)=true, Reference=AAAI'202020.04 | 97.57 | |
| ArcFaceProtocol=Large, Backbone=ResNet-100, Training Data=MS1MV3, Data Refinement=false2018.01 | 97.46 | |
| CurricularFaceProtocol=Large, Data Refinement (R)=false, Backbone=ResNet-1002020.04 | 97.26 | |
| SFaceProtocol=Large, Backbone=ResNet-100, Training Dataset=MS1MV22022.05 | 97.11 | |
| ArcFaceProtocol=Large, Data Refinement (R)=false, Backbone=ResNet-1002020.04 | 96.98 | |
| ArcFaceProtocol=Large, Backbone=ResNet-100, Training Dataset=MS1MV22022.05 | 96.98 | |
| SSTProtocol=Large, Data Refinement=true2018.01 | 96.96 | |
| CosFaceProtocol=Large2022.05 | 96.65 | |
| CosFaceProtocol=Large2018.01 | 96.65 | |
| CosFaceProtocol=Large, Data Refinement (R)=false, Backbone=ResNet-1002020.04 | 96.56 | |
| CosFaceProtocol=Large, Backbone=ResNet-100, Training Dataset=MS1MV22022.05 | 96.56 | |
| Domain BalancingProtocol=Large, Data Refinement=true2018.01 | 96.56 | |
| MV-Arc-SoftmaxProtocol=Large, Data Refinement (R)=false, Backbone=ResNet-100, Is_Reimplemented=true2020.04 | 96.22 | |
| AdaptiveFaceProtocol=Large, Data Refinement (R)=true, Backbone=ResNet-502020.04 | 95.61 | |
| AdaptiveFaceProtocol=Large, Data Refinement=true2018.01 | 95.61 | |
| AdaptiveFaceProtocol=Large, Data Refinement (R)=true2022.05 | 95.608 | |
| UniformFaceProtocol=Large2018.01 | 95.36 | |
| URFaceProtocol=Large2018.01 | 95.04 | |
| CurricularFaceProtocol=Small, Data Refinement (R)=true, Backbone=ResNet-502020.04 | 94.55 | |
| ArcFaceProtocol=Small, Data Refinement (R)=true, Backbone=ResNet-502020.04 | 93.69 | |
| ArcFaceProtocol=Small, Backbone=ResNet-50, Training Data=CASIA, Data Refinement=true2018.01 | 93.56 | |
| CurricularFaceProtocol=Small, Data Refinement (R)=false, Backbone=ResNet-502020.04 | 92.91 | |
| Fair LossProtocol=Large2018.01 | 92.87 | |
| PFEProtocol=Large, Data Refinement (R)=false2020.04 | 92.51 | |
| PFEProtocol=Large2018.01 | 92.51 | |
| ArcFaceProtocol=Small, Data Refinement (R)=false, Backbone=ResNet-502020.04 | 92.34 | |
| ArcFaceProtocol=Small, Backbone=ResNet-50, Training Data=CASIA, Data Refinement=false2018.01 | 91.69 | |
| RegularFaceProtocol=Large2018.01 | 91.13 | |
| CosFaceProtocol=Small, Data Refinement (R)=false2020.04 | 89.88 | |
| CosFaceProtocol=Small2018.01 | 89.88 | |
| FaceNetProtocol=Large2022.05 | 86.47 | |
| FaceNetProtocol=Large2018.01 | 86.47 | |
| SphereFaceProtocol=Small2018.01 | 85.561 | |
| SphereFaceProtocol=Small, Data Refinement (R)=false2020.04 | 85.56 | |
| AM-SoftmaxProtocol=Small, Data Refinement (R)=false2020.04 | 84.44 | |
| AM-SoftmaxProtocol=Small2018.01 | 84.44 | |
| RegularFaceProtocol=Small2018.01 | 84.07 | |
| Center LossProtocol=Small, Data Refinement (R)=false2020.04 | 80.14 | |
| Center LossProtocol=Small2018.01 | 80.14 | |
| Contrastive LossProtocol=Small2018.01 | 78.86 | |
| TripletProtocol=Small, Data Refinement (R)=false2020.04 | 78.32 | |
| TripletProtocol=Small2018.01 | 78.32 | |
| SoftmaxProtocol=Small2018.01 | 65.92 |