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 | MS1MV2, R100, SFace | Accuracy | 91.57 | — | Unverified |
| 2 | MS1MV2, R100, Arcface | Accuracy | 90.57 | — | Unverified |
| 3 | MS1MV2, R100, Curricularface | Accuracy | 90.43 | — | Unverified |
| 4 | VGGFace2, R50, ArcFace | Accuracy | 85.95 | — | Unverified |
| 5 | CASIA-WebFace, R50, CosFace | Accuracy | 82.52 | — | Unverified |
| 6 | Private-Asia, R50, ArcFace | Accuracy | 77.2 | — | Unverified |