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
1SeqFace, 1 ResNet-64Accuracy98.12Unverified
2ArcFace + MS1MV2 + R100,Accuracy98.02Unverified
3CosFaceAccuracy97.6Unverified
4VGG-FaceAccuracy97.4Unverified
5PFEfuse+matchAccuracy97.36Unverified
6QANAccuracy96.17Unverified
7Light CNN-29Accuracy95.54Unverified
8Git LossAccuracy95.3Unverified
9FaceNetAccuracy95.12Unverified
10SphereFaceAccuracy95Unverified