SOTAVerified

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 110 of 360 papers

TitleStatusHype
ProxyFusion: Face Feature Aggregation Through Sparse ExpertsCode0
DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation0
50 Years of Automated Face Recognition0
Benchmarking Foundation Models for Zero-Shot Biometric Tasks0
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection0
A Rapid Test for Accuracy and Bias of Face Recognition TechnologyCode0
Found in Translation: semantic approaches for enhancing AI interpretability in face verification0
Sample Correlation for Fingerprinting Deep Face RecognitionCode0
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PartialFC (R200)Accuracy1Unverified
2QMagFaceAccuracy0.99Unverified
3VarGFaceNetAccuracy0.99Unverified
4VarGNetAccuracy0.9Unverified
5QMagFaceAccuracy0.84Unverified