Face Verification

44 papers with code · Computer Vision

Face verification is the task of comparing a candidate face to another, and verifying whether it is a match. It is a one-to-one mapping: you have to check if this person is the correct one.

( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )

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Latest papers with code

Generative Hierarchical Features from Synthesizing Images

20 Jul 2020genforce/ghfeat

Generative Adversarial Networks (GANs) have recently advanced image synthesis by learning the underlying distribution of observed data in an unsupervised manner.

FACE VERIFICATION IMAGE GENERATION TRANSFER LEARNING

21
20 Jul 2020

ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification

11 Jul 2020xf1994/ECML

Embedding RMML into the proposed ECML mechanism, our metric learning paradigm (EC-RMML) can run in the one-pass learning manner.

FACE VERIFICATION FINE-GRAINED VISUAL RECOGNITION METRIC LEARNING

2
11 Jul 2020

Deep Polynomial Neural Networks

20 Jun 2020grigorisg9gr/polynomial_nets

Deep Convolutional Neural Networks (DCNNs) are currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning.

FACE VERIFICATION IMAGE GENERATION REPRESENTATION LEARNING

5
20 Jun 2020

xCos: An Explainable Cosine Metric for Face Verification Task

11 Mar 2020ntubiolin/xcos

We study the XAI (explainable AI) on the face recognition task, particularly the face verification here.

FACE RECOGNITION FACE VERIFICATION

56
11 Mar 2020

Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method

5 Oct 2019arturjordao/IncrementalDimensionalityReduction

Dimensionality reduction plays an important role in computer vision problems since it reduces computational cost and is often capable of yielding more discriminative data representation.

DIMENSIONALITY REDUCTION FACE VERIFICATION FEATURE SELECTION IMAGE CLASSIFICATION

1
05 Oct 2019

Deep Meta Metric Learning

ICCV 2019 CHENGY12/DMML

In this paper, we present a deep meta metric learning (DMML) approach for visual recognition.

FACE VERIFICATION METRIC LEARNING PERSON RE-IDENTIFICATION VEHICLE RE-IDENTIFICATION

94
01 Oct 2019

SeesawFaceNets: sparse and robust face verification model for mobile platform

arXiv 2019 didi/AoE

Therefore, designing lightweight networks with low memory requirement and computational cost is one of the most practical solutions for face verification on mobile platform.

FACE RECOGNITION FACE VERIFICATION

702
24 Aug 2019

SeesawFaceNets: sparse and robust face verification model for mobile platform

arXiv 2019 cvtower/seesawfacenet_pytorch

Therefore, designing lightweight networks with low memory requirement and computational cost is one of the most practical solutions for face verification on mobile platform.

FACE RECOGNITION FACE VERIFICATION

93
24 Aug 2019