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 1–10 of 360 papers

TitleStatusHype
ProxyFusion: Face Feature Aggregation Through Sparse ExpertsCode0
DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation—0
50 Years of Automated Face Recognition—0
Benchmarking Foundation Models for Zero-Shot Biometric Tasks—0
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection—0
A Rapid Test for Accuracy and Bias of Face Recognition TechnologyCode0
Found in Translation: semantic approaches for enhancing AI interpretability in face verification—0
Sample Correlation for Fingerprinting Deep Face RecognitionCode0
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ProxyFusion (Adaface)TAR @ FAR=0.010.69—Unverified
2CoNAN (Adaface)TAR @ FAR=0.010.56—Unverified
3NAN (Adaface)TAR @ FAR=0.010.54—Unverified
4MCN (Adaface)TAR @ FAR=0.010.54—Unverified
5CAFace (Adaface)TAR @ FAR=0.010.51—Unverified
6MCN (Arcface)TAR @ FAR=0.010.39—Unverified
7NAN (Arcface)TAR @ FAR=0.010.39—Unverified