Face Verification on IJB-C (test)
98.01TAR@FAR=1e-4TopoFR
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| TopoFRBackbone=R200, Training Data=NeoFace32M, Venue=NeurIPS242024.10 | 98.01 | — | — | |
| TopoFRTrain Data=WF42M, Backbone=R-200, Venue=NeurIPS24, Re-implemented status=false2026.06 | 98.01 | — | 97.1 | |
| Partial FCBackbone=R200, Venue=CVPR222024.10 | 97.97 | — | — | |
| UniFaceBackbone=R200, Training Data=WebFace42M, Venue=ICCV232024.10 | 97.91 | — | — | |
| UniFaceTrain Data=WF42M, Backbone=R-200, Venue=ICCV23, Re-implemented status=false2026.06 | 97.91 | — | 96.68 | |
| TransFace-LYear='25, Param (M)=271.6, FLOPs (M)=25.4G, Training Dataset=Glint360K, Latency (ms)=OOM2026.04 | 97.85 | — | — | |
| PartialFC (0.3)Train Data=WF42M, Backbone=R-100, Venue=CVPR22, Re-implemented status=false2026.06 | 97.82 | — | 96.46 | |
| Q-MarginTrain Data=WF42M, Backbone=R-100, alpha=1.25, s=35, m=0.2, Re-implemented status=true2026.06 | 97.78 | — | 96.35 | |
| TransFace-BYear='25, Param (M)=124.5, FLOPs (M)=11.5G, Training Dataset=Glint360K, Latency (ms)=18.202026.04 | 97.59 | — | — | |
| EntMaxTrain Data=WF42M, Backbone=R-100, alpha=1.25, s=64, m=0.5, Re-implemented status=true2026.06 | 97.55 | — | 96.11 | |
| ArcFaceTrain Data=WF42M, Backbone=R-100, s=64, m=0.5, Re-implemented status=true2026.06 | 97.54 | — | 95.7 | |
| CosFaceTrain Data=WF42M, Backbone=R-100, s=64, m=0.5, Re-implemented status=true2026.06 | 97.49 | — | 95.82 | |
| AdaFaceTrain Data=WF4M, Backbone=R-100, Venue=CVPR22, Re-implemented status=false2026.06 | 97.39 | — | — | |
| TransFace-SYear='23, Param (M)=86.7, FLOPs (M)=5.8G, Training Dataset=Glint360K, Latency (ms)=14.312026.04 | 97.33 | — | — | |
| F2CTrain Data=WF42M, Backbone=R-100, Venue=CVPR22, Re-implemented status=false2026.06 | 97.31 | — | — | |
| CAFace + AdaFaceTrain Data=WF4M, Backbone=R-100, Venue=NeurIPS22, Re-implemented status=false2026.06 | 97.3 | — | 95.96 | |
| QAFaceTrain Data=MS1MV2, Backbone=ResNet†, Venue=WACV23, Re-implemented status=false2026.06 | 97.2 | — | — | |
| SparseMaxTrain Data=WF42M, Backbone=R-100, alpha=2, s=1.9, m=0.2, Re-implemented status=true2026.06 | 97.12 | — | 95.28 | |
| Teacher, SH-KDModel=R1002022.01 | 97.03 | 90.88 | 95.58 | |
| Teacher, VanillaModel=R1002022.01 | 97 | 91.49 | 95.52 | |
| ResNet50-ArcFaceYear='22, Param (M)=43.6, FLOPs (M)=6.3G, Training Dataset=Glint360K, Latency (ms)=3.762026.04 | 96.81 | — | — | |
| ElasticFaceTrain Data=MS1MV2, Backbone=R-100, Venue=CVPR22, Re-implemented status=false2026.06 | 96.65 | — | — | |
| FaceLiVTv2-LParam (M)=8.52, FLOPs (M)=309, Training Dataset=Glint360K, Latency (ms)=0.71(17.2× ↓)2026.04 | 96.59 | — | — | |
| ResNet200-TopoFRYear='24, Param (M)=118.8, FLOPs (M)=23.5G, Training Dataset=Glint360K, Latency (ms)=12.242026.04 | 96.56 | — | — | |
| FaceLiVTv2-MParam (M)=7.02, FLOPs (M)=258, Training Dataset=Glint360K, Latency (ms)=0.65(18.8× ↓)2026.04 | 96.42 | — | — | |
| CurricularFaceTrain Data=MS1MV2, Backbone=R-100, Venue=CVPR20, Re-implemented status=false2026.06 | 96.1 | — | — | |
| FaceLiVTv2-SParam (M)=4.62, FLOPs (M)=179, Training Dataset=Glint360K, Latency (ms)=0.54(22.7× ↓)2026.04 | 95.99 | — | — | |
| MagFaceTrain Data=MS1MV2, Backbone=R-100, Venue=CVPR21, Re-implemented status=false2026.06 | 95.97 | — | 94.08 | |
| SH-KDModel=MobileFaceNet2022.01 | 95.64 | 90.24 | 93.73 | |
| L2E+IS-samplingModel=MobileFaceNet2022.01 | 95.49 | — | 93.25 | |
| L2EModel=MobileFaceNet2022.01 | 95.48 | 88.47 | 93.49 | |
| TH-KDModel=MobileFaceNet2022.01 | 95.48 | 89.82 | 93.5 | |
| VanillaModel=MobileFaceNet2022.01 | 95.42 | 88.72 | 92.75 | |
| L2E+ES-samplingModel=MobileFaceNet2022.01 | 95.39 | — | 93.2 | |
| AdafaceModel=R-50-512, Params (M)=49.02025.02 | 95.34 | — | — | |
| MartinezModel=MobileFaceNet2022.01 | 94.7 | — | 92.2 | |
| AdafaceModel=R-18-512, Params (M)=29.42025.02 | 94.03 | — | — | |
| Efficient Global Neural Architecture Search (medium)Model=R-34-512, Params (M)=37.12025.02 | 93.65 | — | — | |
| Efficient Global Neural Architecture Search (small)Model=R-58-256, Params (M)=14.62025.02 | 92.6 | — | — | |
| FaceLiVTv2-XSParam (M)=2.9, FLOPs (M)=90, Training Dataset=Glint360K, Latency (ms)=0.43(28.5× ↓)2026.04 | 91.25 | — | — |