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https://github.com/HansonSun/FaceRecognition-Papers

Face Recognition related Papers
https://github.com/HansonSun/FaceRecognition-Papers

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Face Recognition related Papers

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# FaceRecognition-Papers

Face Recognition related Papers


## 2014

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


https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf


[DeepID1]Deep Learning Face Representation from Predicting 10,000 Classes


https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sun_Deep_Learning_Face_2014_CVPR_paper.pdf


[DeepID2]Deep Learning Face Representation by Joint Identification-Verification


https://arxiv.org/abs/1406.4773


[DeepID2+]Deeply learned face representations are sparse, selective, and robust


https://arxiv.org/abs/1412.1265


## 2015

Deep Face Recognition


https://www.robots.ox.ac.uk/~vgg/publications/2015/Parkhi15/parkhi15.pdf


[DeepID3]DeepID3: Face Recognition with Very Deep Neural Networks


https://arxiv.org/abs/1502.00873


FaceNet: A Unified Embedding for Face Recognition and Clustering


https://arxiv.org/abs/1503.03832


A Light CNN for Deep Face Representation with Noisy Labels


https://arxiv.org/abs/1511.02683


## 2016

Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding


https://arxiv.org/abs/1611.06638


Large-Margin Softmax Loss for Convolutional Neural Networks


https://arxiv.org/abs/1612.02295


Range Loss for Deep Face Recognition with Long-tail


https://arxiv.org/abs/1611.08976


[centerloss]A Discriminative Feature Learning Approach for Deep Face Recognition


https://ydwen.github.io/papers/WenECCV16.pdf


## 2017

L2-constrained Softmax Loss for Discriminative Face Verification


https://arxiv.org/pdf/1703.09507.pdf


Marginal Loss for Deep Face Recognition


https://ibug.doc.ic.ac.uk/media/uploads/documents/deng_marginal_loss_for_cvpr_2017_paper.pdf


[cocoloss v1]Learning Deep Features via Congenerous Cosine Loss for Person Recognition


https://arxiv.org/abs/1702.06890


Learning Deep Features via Congenerous Cosine Loss for Person Recognition


https://arxiv.org/abs/1702.06890


SphereFace: Deep Hypersphere Embedding for Face Recognition


https://arxiv.org/abs/1704.08063


NormFace: L2 Hypersphere Embedding for Face Verification


https://arxiv.org/abs/1704.06369


[cocoloss v2]

Rethinking Feature Discrimination and Polymerization for Large-scale Recognition


https://arxiv.org/abs/1710.00870


## 2018

ArcFace: Additive Angular Margin Loss for Deep Face Recognition


https://arxiv.org/abs/1801.07698


Additive Margin Softmax for Face Verification


https://arxiv.org/abs/1801.05599


Ring loss: Convex Feature Normalization for Face Recognition


https://arxiv.org/abs/1803.00130


CosFace: Large Margin Cosine Loss for Deep Face Recognition


https://arxiv.org/abs/1801.09414


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


https://arxiv.org/abs/1804.07573


Deep Face Recognition: A Survey


https://arxiv.org/abs/1804.06655


Wildest Faces: Face Detection and Recognition in Violent Settings


https://arxiv.org/abs/1805.07566


Pose-Robust Face Recognition via Deep Residual Equivariant Mapping


https://arxiv.org/abs/1803.00839


Minimum Margin Loss for Deep Face Recognition


https://arxiv.org/abs/1805.06741


Fully Associative Patch-based 1-to-N Matcher for Face Recognition


https://arxiv.org/abs/1805.06306


Towards Interpretable Face Recognition


https://arxiv.org/abs/1805.00611


Robust Face Recognition with Deeply Normalized Depth Images


https://arxiv.org/abs/1805.00406