Face Verification

28 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.

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Greatest papers with code

FaceNet: A Unified Embedding for Face Recognition and Clustering

CVPR 2015 davidsandberg/facenet

On the widely used Labeled Faces in the Wild (LFW) dataset, our system achieves a new record accuracy of 99. 63%.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

CVPR 2019 deepinsight/insightface

One of the main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large-scale face recognition is the design of appropriate loss functions that enhance discriminative power.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

SphereFace: Deep Hypersphere Embedding for Face Recognition

CVPR 2017 wy1iu/sphereface

This paper addresses deep face recognition (FR) problem under open-set protocol, where ideal face features are expected to have smaller maximal intra-class distance than minimal inter-class distance under a suitably chosen metric space.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

A Light CNN for Deep Face Representation with Noisy Labels

9 Nov 2015AlfredXiangWu/face_verification_experiment

This paper presents a Light CNN framework to learn a compact embedding on the large-scale face data with massive noisy labels.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION FEATURE SELECTION

Additive Margin Softmax for Face Verification

17 Jan 2018happynear/AMSoftmax

In this work, we introduce a novel additive angular margin for the Softmax loss, which is intuitively appealing and more interpretable than the existing works.

FACE VERIFICATION METRIC LEARNING

FacePoseNet: Making a Case for Landmark-Free Face Alignment

24 Aug 2017fengju514/Face-Pose-Net

Instead, we compare our FPN with existing methods by evaluating how they affect face recognition accuracy on the IJB-A and IJB-B benchmarks: using the same recognition pipeline, but varying the face alignment method.

FACE ALIGNMENT FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION FACIAL LANDMARK DETECTION

NormFace: L2 Hypersphere Embedding for Face Verification

21 Apr 2017happynear/NormFace

We show that both strategies, and small variants, consistently improve performance by between 0. 2% to 0. 4% on the LFW dataset based on two models.

FACE VERIFICATION METRIC LEARNING