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Face recognition has made extraordinary progress owing to the advancement of deep convolutional neural networks (CNNs).
Face recognition using eigenfaces
M. A. Turk and A. P. Pentland · 1991
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Eigenfaces vs. fisherfaces: Recognition using class specific linear projection
P. Belhumeur, J. P. Hespanha, and D. Kriegman · 1997
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A unified framework for subspace face recognition
X. Wang and X. Tang · 2004
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Learning a similarity metric discriminatively, with application to face verification
S. Chopra, R. Hadsell, and Y. LeCun · 2005
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Nonparametric subspace analysis for face recognition
Z. Li, W. Liu, D. Lin, and X. Tang · 2005
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Dimensionality reduction by learning an invariant mapping
R. Hadsell, S. Chopra, and Y. LeCun · 2006
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Spatio-temporal embedding for statistical face recognition from video
W. Liu, Z. Li, and X. Tang · 2006
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
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Nonparametric discriminant analysis for face recognition
Z. Li, D. Lin, and X. Tang · 2009
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Face recognition in unconstrained videos with matched background similarity
L. Wolf, T. Hassner, and I. Maoz · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Face recognition via archetype hull ranking
Y. Xiong, W. Liu, D. Zhao, and X. Tang · 2013
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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A data-driven approach to cleaning large face datasets
H.-W. Ng and S. Winkler · 2014
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Deep learning face representation by joint identification-verification
Y. Sun, Y. Chen, X. Wang, and X. Tang · 2014
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Deep learning face representation from predicting 10,000 classes
Y. Sun, X. Wang, and X. Tang · 2014
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Deepface: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
Cited alongside, same era.
Learning fine-grained image similarity with deep ranking
J. Wang, Y. Song, T. Leung, C. Rosenberg, J. Wang, J. Philbin, B. Chen, and Y. Wu · 2014
Cited alongside, same era.
Learning face representation from scratch
D. Yi, Z. Lei, S. Liao, and S. Z. Li · 2014
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Deep metric learning using triplet network
E. Hoffer and N. Ailon · 2015
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When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition
G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, and T. Hospedales · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
YFCC100M: The new data in multimedia research
B. Thomee, D. A. Shamma, G. Friedland, B. Elizalde, K. Ni, D. Poland, D. Borth, and L.-J. Li · 2016
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A discriminative feature learning approach for deep face recognition
Y. Wen, K. Zhang, Z. Li, and Y. Qiao · 2016
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2016
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Island Loss for Learning Discriminative Features in Facial Expression Recognition
J. Cai, Z. Meng, A. S. Khan, Z. Li, and Y. Tong · 2017
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Beyond triplet loss: a deep quadruplet network for person re-identification
W. Chen, X. Chen, J. Zhang, and K. Huang · 2017
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K. Simonyan and A. Zisserman · 2015
Cited alongside, same era.
Targeting ultimate accuracy: Face recognition via deep embedding
J. Liu, Y. Deng, T. Bai, Z. Wei, and C. Huang · 2015
Cited alongside, same era.
Deep face recognition
O. M. Parkhi, A. Vedaldi, A. Zisserman, et al · 2015
Cited alongside, same era.
Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
DeepID3: Face recognition with very deep neural networks
Y. Sun, D. Liang, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Deeply learned face representations are sparse, selective, and robust
Y. Sun, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Cited alongside, same era.
Marginal loss for deep face recognition
J. Deng, Y. Zhou, and S. Zafeiriou · 2017
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von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
M. A. Hasnat, J. Bohne, J. Milgram, S. Gentric, and L. Chen · 2017
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Squeeze-and-Excitation Networks
J. Hu, L. Shen, and G. Sun · 2017
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SphereFace: Deep Hypersphere Embedding for Face Recognition
W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, and L. Song · 2017
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Level playing field for million scale face recognition
A. Nech and I. Kemelmacher-Shlizerman · 2017
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L2-constrained Softmax Loss for Discriminative Face Verification
R. Ranjan, C. D. Castillo, and R. Chellappa · 2017
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NormFace:
F. Wang, X. Xiang, J. Cheng, and A. L. Yuille · 2017
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Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction
Z. Wang, K. He, Y. Fu, R. Feng, Y.-G. Jiang, and X. Xue · 2017
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Range Loss for Deep Face Recognition with Long-tail
X. Zhang, Z. Fang, Y. Wen, Z. Li, and Y. Qiao · 2017
Later among the works it cites.
Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval
X. Zhe, S. Chen, and H. Yan · 2018
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