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While the research community appears to have developed a consensus on the methods of acquiring annotated data, design and training of CNNs, many questions still remain to be answered.
Robust real-time face detection
P. Viola and M. J. Jones · 2004
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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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Attribute and simile classifiers for face verification
N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar · 2009
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Fddb: A benchmark for face detection in unconstrained settings
V. Jain and E. G. Learned-Miller · 2010
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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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Hybrid deep learning for face verification
Y. Sun, X. Wang, 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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One millisecond face alignment with an ensemble of regression trees
V. Kazemi and J. Sullivan · 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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Deepface: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
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Learning face representation from scratch
D. Yi, Z. Lei, S. Liao, and S. Z. Li · 2014
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Learning visual similarity for product design with convolutional neural networks
S. Bell and K. Bala · 2015
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Effective face frontalization in unconstrained images
T. Hassner, S. Harel, E. Paz, and R. Enbar · 2015
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Pushing the frontiers of unconstrained face detection and recognition: Iarpa janus benchmark a
B. F. Klare, B. Klein, E. Taborsky, A. Blanton, J. Cheney, K. Allen, P. Grother, A. Mah, and A. K. Jain · 2015
Cited alongside, same era.
Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
Cited alongside, same era.
A deep pyramid deformable part model for face detection
R. Ranjan, V. M. Patel, and R. Chellappa · 2015
Cited alongside, same era.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 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.
Frankenstein: Learning deep face representations using small data
G. Hu, X. Peng, Y. Yang, T. Hospedales, and J. Verbeek · 2016
Later among the works it cites.
P. Hu and D. Ramanan · 2016
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The megaface benchmark: 1 million faces for recognition at scale
I. Kemelmacher-Shlizerman, S. M. Seitz, D. Miller, and E. Brossard · 2016
Later among the works it cites.
Labeled faces in the wild: A survey
E. Learned-Miller, G. B. Huang, A. RoyChowdhury, H. Li, and G. Hua · 2016
Later among the works it cites.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
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Megaface 2: 672,057 identities for face recognition
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Deepid3: Face recognition with very deep neural networks
Y. Sun, D. Liang, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Wider face: A face detection benchmark
S. Yang, P. Luo, C. C. Loy, and X. Tang · 2015
Cited alongside, same era.
Umdfaces: An annotated face dataset for training deep networks
A. Bansal, A. Nanduri, C. Castillo, R. Ranjan, and R. Chellappa · 2016
Cited alongside, same era.
Supervised transformer network for efficient face detection
D. Chen, G. Hua, F. Wen, and J. Sun · 2016
Cited alongside, same era.
Unconstrained face verification using deep cnn features
J.-C. Chen, V. M. Patel, and R. Chellappa · 2016
Cited alongside, same era.
Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao · 2016
Cited alongside, same era.
A. Nech and I. Kemelmacher-Shlizerman · 2016
Later among the works it cites.
R. Ranjan, V. M. Patel, and R. Chellappa · 2016
Later among the works it cites.
An all-in-one convolutional neural network for face analysis
R. Ranjan, S. Sankaranarayanan, C. D. Castillo, and R. Chellappa · 2016
Later among the works it cites.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Later among the works it cites.
Triplet probabilistic embedding for face verification and clustering
S. Sankaranarayanan, A. Alavi, C. D. Castillo, and R. Chellappa · 2016
Later among the works it cites.
Cms-rcnn: contextual multi-scale region-based cnn for unconstrained face detection
C. Zhu, Y. Zheng, K. Luu, and M. Savvides · 2016
Later among the works it cites.
Unconstrained face alignment via cascaded compositional learning
S. Zhu, C. Li, C.-C. Loy, and X. Tang · 2016
Later among the works it cites.
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2017
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