Face Recognition
Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.
The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.
( Image credit: Face Verification )
Papers
Showing 1–10 of 2329 papers
All datasetsLFWCFP-FPCASIA-WebFace+masksCelebA+masksMLFWAgeDB-30Color FERETIJB-BCALFWmebeblurfMFW+ (M-M)MFW+ (U-M)
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GhostFaceNetV2-1 | Accuracy | 0.99 | — | Unverified |
| 2 | SymFace + AdaFace + ResNet100 +WebFace | Accuracy | 0.99 | — | Unverified |
| 3 | ElasticFace-Arc | Accuracy | 0.99 | — | Unverified |
| 4 | DiscFace | Accuracy | 0.99 | — | Unverified |
| 5 | CircleLoss(ours) | Accuracy | 0.96 | — | Unverified |
| 6 | EdgeFace - S (g=0.5) | Accuracy | 0.96 | — | Unverified |
| 7 | DCQ | Accuracy | 0.93 | — | Unverified |