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Face Verification
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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.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
Boosting Cross-Quality Face Verification using Blind Face Restoration
Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion
A Study on the Impact of Face Image Quality on Face Recognition in the Wild
Query-Efficient Decision-based Black-Box Patch Attack
TinySiamese Network for Biometric Analysis
Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search
Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?
Towards Visual Saliency Explanations of Face Verification
Age-Invariant Face Embedding using the Wasserstein Distance
Racial Bias within Face Recognition: A Survey
Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation
Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach
GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
An information-theoretic learning model based on importance sampling
Semantic Adversarial Attacks on Face Recognition through Significant Attributes
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Learning Representations for Masked Facial Recovery
A Brief Survey on Person Recognition at a Distance
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
Explainable Model-Agnostic Similarity and Confidence in Face Verification
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
Cluster and Aggregate: Face Recognition with Large Probe Set
T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
Learning Audio-Visual embedding for Person Verification in the Wild
Can GAN-induced Attribute Manipulations Impact Face Recognition?
On Biased Behavior of GANs for Face Verification
GesSure- A Robust Face-Authentication enabled Dynamic Gesture Recognition GUI Application
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