Face Verification
Face Verification is a machine learning task in computer vision that involves determining whether two facial images belong to the same person or not. The task involves extracting features from the facial images, such as the shape and texture of the face, and then using these features to compare and verify the similarity between the images.
( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )
Papers
Showing 1–10 of 360 papers
All datasetsIJB-CIJB-AIJB-BMegaFaceYouTube Faces DBBTS3.1Labeled Faces in the WildTrillion Pairs DatasetAgeDB-30CFP-FPBUAA-VisNirCASIA NIR-VIS 2.0
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Dual-Agent GANs | TAR @ FAR=0.01 | 97.6 | — | Unverified |
| 2 | PFEfuse + match | TAR @ FAR=0.01 | 97.5 | — | Unverified |
| 3 | SE-GV-4-g1 | TAR @ FAR=0.01 | 97.2 | — | Unverified |
| 4 | L2-constrained softmax loss | TAR @ FAR=0.01 | 97 | — | Unverified |
| 5 | VGGFace2_ft | TAR @ FAR=0.01 | 96.8 | — | Unverified |
| 6 | StyleFNM | TAR @ FAR=0.01 | 94.6 | — | Unverified |
| 7 | Deep Residual Equivariant Mapping | TAR @ FAR=0.01 | 94.4 | — | Unverified |
| 8 | NAN | TAR @ FAR=0.01 | 94.1 | — | Unverified |
| 9 | Template adaptation | TAR @ FAR=0.01 | 93.9 | — | Unverified |
| 10 | All-in-one CNN | TAR @ FAR=0.01 | 92.2 | — | Unverified |