Face Verification on CP-LFW
92.56TAR (%)EdgeFace - S
Evaluation Results
| Method | Links | |
|---|---|---|
| EdgeFace - SMPARAMS=3.65, MFLOPS=306.11, gamma=0.52023.07 | 92.56 | |
| EdgeFace - XSMPARAMS=1.77, MFLOPS=154, gamma=0.62023.07 | 91.82 | |
| PocketNetM-256MPARAMS=1.75, MFLOPS=1099.152023.07 | 90.03 | |
| PocketNetM-128MPARAMS=1.68, MFLOPS=1099.022023.07 | 90 | |
| PocketNetS-128MPARAMS=0.92, MFLOPS=587.112023.07 | 89.63 | |
| MobileFaceNetMPARAMS=2.0, MFLOPS=9332023.07 | 89.22 | |
| PocketNetS-256MPARAMS=0.99, MFLOPS=587.242023.07 | 88.93 | |
| VarGFaceNetMPARAMS=5.0, MFLOPS=10222023.07 | 88.55 | |
| ShuffleFaceNet 1.5xMPARAMS=2.6, MFLOPS=577.52023.07 | 88.5 | |
| MobileFaceNetV1MPARAMS=3.4, MFLOPS=11002023.07 | 87.17 | |
| ProxylessFaceNASMPARAMS=3.2, MFLOPS=9002023.07 | 84.17 | |
| ID³Training set=CASIA, Backbone=LResNet50-IR2024.09 | 82.77 | |
| DCFaceTraining set=FFHQ+CASIA, Backbone=LResNet50-IR2024.09 | 82.62 | |
| ID³Training set=FFHQ, Backbone=LResNet50-IR2024.09 | 77.13 | |
| IDiff-FaceTraining set=FFHQ, Backbone=LResNet50-IR2024.09 | 76.65 | |
| SFaceTraining set=FFHQ, Backbone=LResNet50-IR2024.09 | 73.42 | |
| SynFaceTraining set=FFHQ, Backbone=LResNet50-IR2024.09 | 70.43 | |
| ID-NetTraining set=FFHQ, Backbone=LResNet50-IR2024.09 | 67.35 | |
| DigiFaceTraining set=FFHQ, Backbone=LResNet50-IR2024.09 | 66.73 |