About

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 )

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Greatest papers with code

OpenFace: A general-purpose face recognition library with mobile applications

1 Jan 2016cmusatyalab/openface

Cameras are becoming ubiquitous in the Internet of Things (IoT) and can use face recognition technology to improve context.

FACE RECOGNITION FACE VERIFICATION

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%.

Ranked #6 on Face Verification on IJB-C (TAR @ FAR=0.01 metric)

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

Dlib-ml: A Machine Learning Toolkit

1 Jan 2009davisking/dlib

There are many excellent toolkits which provide support for developing machine learning software in Python, R, Matlab, and similar environments.

ANOMALY DETECTION FACE VERIFICATION

Partial FC: Training 10 Million Identities on a Single Machine

11 Oct 2020deepinsight/insightface

The experiment demonstrates no loss of accuracy when training with only 10\% randomly sampled classes for the softmax-based loss functions, compared with training with full classes using state-of-the-art models on mainstream benchmarks.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION REPRESENTATION LEARNING

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

VGGFace2: A dataset for recognising faces across pose and age

23 Oct 2017deepinsight/insightface

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.

Ranked #3 on Face Verification on IJB-C (TAR @ FAR=0.01 metric)

FACE RECOGNITION FACE VERIFICATION IMAGE RETRIEVAL

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

Deep Face Recognition

1 Jan 2015serengil/deepface

The goal of this paper is face recognition -- from either a single photograph or from a set of faces tracked in a video.

FACE RECOGNITION FACE VERIFICATION