# Face Identification Edit

17 papers with code · Computer Vision

Face identification is the task of matching a given face image to one in an existing database of faces. It is the second part of face recognition (the first part being detection). It is a one-to-many mapping: you have to find an unknown person in a database to find who that person is.

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

# 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%.

10,077

# ArcFace: Additive Angular Margin Loss for Deep Face Recognition

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.

6,120

# 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.

1,339

# 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.

699

# 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.

422

# Pose-Robust Face Recognition via Deep Residual Equivariant Mapping

However, many contemporary face recognition models still perform relatively poor in processing profile faces compared to frontal faces.

327

# DeepID3: Face Recognition with Very Deep Neural Networks

3 Feb 2015hqli/face_recognition

Very deep neural networks recently achieved great success on general object recognition because of their superb learning capacity.

279

# VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition

11 Oct 2019zma-c-137/VarGFaceNet

To improve the discriminative and generalization ability of lightweight network for face recognition, we propose an efficient variable group convolutional network called VarGFaceNet.

211

# CosFace: Large Margin Cosine Loss for Deep Face Recognition

More specifically, we reformulate the softmax loss as a cosine loss by $L_2$ normalizing both features and weight vectors to remove radial variations, based on which a cosine margin term is introduced to further maximize the decision margin in the angular space.

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# Ring loss: Convex Feature Normalization for Face Recognition

We motivate and present Ring loss, a simple and elegant feature normalization approach for deep networks designed to augment standard loss functions such as Softmax.

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