Face Recognition

Published: 09 Oct 2015 Category: deep_learning


Deep Learning Face Representation from Predicting 10,000 Classes


Deeply learned face representations are sparse, selective, and robust

MobileID: Face Model Compression by Distilling Knowledge from Neurons

Deep Face Recognition


FaceNet: A Unified Embedding for Face Recognition and Clustering

Real time face detection and recognition

Targeting Ultimate Accuracy: Face Recognition via Deep Embedding

Learning Robust Deep Face Representation

A Light CNN for Deep Face Representation with Noisy Labels

Pose-Aware Face Recognition in the Wild

Recurrent Regression for Face Recognition

A Discriminative Feature Learning Approach for Deep Face Recognition

Deep Face Recognition with Center Invariant Loss

How Image Degradations Affect Deep CNN-based Face Recognition?

VIPLFaceNet: An Open Source Deep Face Recognition SDK

SeetaFace Engine

A Discriminative Feature Learning Approach for Deep Face Recognition

Sparsifying Neural Network Connections for Face Recognition

Range Loss for Deep Face Recognition with Long-tail

Towards End-to-End Face Recognition through Alignment Learning

Multi-Task Convolutional Neural Network for Face Recognition

SphereFace: Deep Hypersphere Embedding for Face Recognition

Learning towards Minimum Hyperspherical Energy

Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture

Enhancing Convolutional Neural Networks for Face Recognition with Occlusion Maps and Batch Triplet Loss


Improving Heterogeneous Face Recognition with Conditional Adversarial Networks


Face Sketch Matching via Coupled Deep Transform Learning

Face Recognition via Centralized Coordinate Learning

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

CosFace: Large Margin Cosine Loss for Deep Face Recognition


Ring loss: Convex Feature Normalization for Face Recognition

Pose-Robust Face Recognition via Deep Residual Equivariant Mapping

Deep Face Recognition: A Survey

Surveillance Face Recognition Challenge


Towards Interpretable Face Recognition


Scalable Angular Discriminative Deep Metric Learning for Face Recognition


Minimum Margin Loss for Deep Face Recognition


Wildest Faces: Face Detection and Recognition in Violent Settings


Deep Imbalanced Learning for Face Recognition and Attribute Prediction


Accurate and Efficient Similarity Search for Large Scale Face Recognition

Face Recognition in Low Quality Images: A Survey


Low Resolution Face Recognition in the Wild


From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data

Git Loss for Deep Face Recognition

Multicolumn Networks for Face Recognition

The Devil of Face Recognition is in the Noise

Deep Sketch-Photo Face Recognition Assisted by Facial Attributes


Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate


Pairwise Relational Networks for Face Recognition

Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition


Pairwise Relational Networks using Local Appearance Features for Face Recognition

Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation


Low-Resolution Face Recognition

MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices


Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network


Support Vector Guided Softmax Loss for Face Recognition

Linkage Based Face Clustering via Graph Convolution Network

Deep Learning for Face Recognition: Pride or Prejudiced?


Efficient Decision-based Black-box Adversarial Attacks on Face Recognition

Decorrelated Adversarial Learning for Age-Invariant Face Recognition

ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks


Attentional Feature-Pair Relation Networks for Accurate Face Recognition


Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network


Towards Flops-constrained Face Recognition

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

Towards Flops-constrained Face Recognition

Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition

FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization

Mis-classified Vector Guided Softmax Loss for Face Recognition

Domain Balancing: Face Recognition on Long-Tailed Domains

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

Loss Function Search for Face Recognition

Explainable Face Recognition

BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition

Searching for Alignment in Face Recognition

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework

Unmasking Face Embeddings by Self-restrained Triplet Loss for Accurate Masked Face Recognition


WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

Face Transformer for Recognition

Face Verification

Deep Learning Face Representation by Joint Identification-Verification

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Triplet Probabilistic Embedding for Face Verification and Clustering

DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification


Hybrid Deep Learning for Face Verification

NormFace: L2 Hypersphere Embedding for Face Verification

L2-constrained Softmax Loss for Discriminative Face Verification


von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification


Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification


Additive Margin Softmax for Face Verification

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

DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild


An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification


Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network


xCos: An Explainable Cosine Metric for Face Verification Task


Facial Attributes Classification

A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild


A Deep Cascade Network for Unaligned Face Attribute Classification


A Deep Face Identification Network Enhanced by Facial Attributes Prediction


Multi-task Learning of Cascaded CNN for Facial Attribute Classification

Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification

A Survey to Deep Facial Attribute Analysis


Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild

Video Face Recognition

Neural Aggregation Network for Video Face Recognition

Attention-Set based Metric Learning for Video Face Recognition


SeqFace: Make full use of sequence information for face recognitio

Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)

Facial Point / Landmark Detection

Deep Convolutional Network Cascade for Facial Point Detection

Facial Landmark Detection by Deep Multi-task Learning

A Recurrent Encoder-Decoder Network for Sequential Face Alignment

RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment

Detecting facial landmarks in the video based on a hybrid framework

Deep Constrained Local Models for Facial Landmark Detection

Effective face landmark localization via single deep network

A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection


Deep Alignment Network: A convolutional neural network for robust face alignment

Joint Multi-view Face Alignment in the Wild


FacePoseNet: Making a Case for Landmark-Free Face Alignment


Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks


Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier

Style Aggregated Network for Facial Landmark Detection

Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment


Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

Deep Multi-Center Learning for Face Alignment

Hierarchical binary CNNs for landmark localization with limited resources

Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment


PFLD: A Practical Facial Landmark Detector

Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection

An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking

HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap


Face Synthesis

Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis


Using MXNet for Face-related Algorithm

clmtrackr: Javascript library for precise tracking of facial features via Constrained Local Models



FaceVerification: An Experimental Implementation of Face Verification, 96.8% on LFW



OpenFace: Face Recognition with Deep Neural Networks

OpenFace 0.2.0: Higher accuracy and halved execution time

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

OpenFace: an open source facial behavior analysis toolkit