Face Verification

105 papers with code • 21 benchmarks • 22 datasets

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.

Libraries

Use these libraries to find Face Verification models and implementations
10 papers
5,049
6 papers
13,074
3 papers
78

FaceNet: A Unified Embedding for Face Recognition and Clustering

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

170

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability.

85

RetinaFace: Single-stage Dense Face Localisation in the Wild

2 May 2019

Face Analysis Project on MXNet

63

VGGFace2: A dataset for recognising faces across pose and age

23 Oct 2017

The dataset was collected with three goals in mind: (i) to have both a large number of identities and also a large number of images for each identity; (ii) to cover a large range of pose, age and ethnicity; and (iii) to minimize the label noise.

18

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

20 Apr 2018

Face Analysis Project on MXNet

16

SphereFace: Deep Hypersphere Embedding for Face Recognition

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.

14

Circle Loss: A Unified Perspective of Pair Similarity Optimization

This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity $s_p$ and minimize the between-class similarity $s_n$.

10

A Light CNN for Deep Face Representation with Noisy Labels

9 Nov 2015

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

9

Additive Margin Softmax for Face Verification

17 Jan 2018

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.

9

CosFace: Large Margin Cosine Loss for Deep Face Recognition

The central task of face recognition, including face verification and identification, involves face feature discrimination.

8