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The performance of face detection has been largely improved with the development of convolutional neural network.
Rapid object detection using a boosted cascade of simple features
P. Viola and M. Jones · 2001
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Robust real-time face detection
P. Viola and M. J. Jones · 2004
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Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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A discriminatively trained, multiscale, deformable part model
P. Felzenszwalb, D. McAllester, and D. Ramanan · 2008
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Supervised descent method and its applications to face alignment
X. Xiong and F. De la Torre · 2013
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Fast feature pyramids for object detection
P. Dollar, R. Appel, S. J. Belongie, and P. Perona · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Aggregate channel features for multi-view face detection
B. Yang, J. Yan, Z. Lei, and S. Z. Li · 2014
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Fast r-cnn
R. Girshick · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Densebox: Unifying landmark localization with end to end object detection
L. Huang, Y. Yang, Y. Deng, and Y. Yu · 2015
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Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, et al · 2015
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A convolutional neural network cascade for face detection
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua · 2015
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O. M. Parkhi, A. Vedaldi, A. Zisserman, et al · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
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From facial parts responses to face detection: A deep learning approach
S. Yang, P. Luo, C.-C. Loy, and X. Tang · 2015
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High-fidelity pose and expression normalization for face recognition in the wild
X. Zhu, Z. Lei, J. Yan, D. Yi, and S. Z. Li · 2015
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.
face detection with end-to-end integration of a convnet and a 3d model
Y. Li, B. Sun, T. Wu, and Y. Wang · 2016
Joint face detection and alignment using multitask cascaded convolutional networks
K. Zhang, Z. Zhang, Z. Li, and Y. Qiao · 2016
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Face alignment across large poses: A 3d solution
X. Zhu, Z. Lei, X. Liu, H. Shi, and S. Z. Li · 2016
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Masquer hunter: Adversarial occlusion-aware face detection
Y. Chen, L. Song, and R. He · 2017
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Detecting masked faces in the wild with lle-cnns
S. Ge, J. Li, Q. Ye, and Z. Luo · 2017
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Z. Hao, Y. Liu, H. Qin, J. Yan, X. Li, and X. Hu · 2017
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Finding tiny faces
P. Hu and D. Ramanan · 2017
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Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2016
Cited alongside, same era.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Cited alongside, same era.
To boost or not to boost? on the limits of boosted trees for object detection
E. Ohn-Bar and M. M. Trivedi · 2016
Cited alongside, same era.
Grid loss: Detecting occluded faces
M. Opitz, G. Waltner, G. Poier, H. Possegger, and H. Bischof · 2016
Cited alongside, same era.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Cited alongside, same era.
Training region-based object detectors with online hard example mining
A. Shrivastava, A. Gupta, and R. Girshick · 2016
Cited alongside, same era.
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Face detection with the faster r-cnn
H. Jiang and E. Learned-Miller · 2017
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Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollar · 2017
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Recurrent scale approximation for object detection in cnn
Y. Liu, H. Li, J. Yan, F. Wei, X. Wang, and X. Tang · 2017
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Ssh: Single stage headless face detector
M. Najibi, P. Samangouei, R. Chellappa, and L. S. Davis · 2017
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Face detection through scale-friendly deep convolutional networks
S. Yang, Y. Xiong, C. C. Loy, and X. Tang · 2017
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S3fd: Single shot scale-invariant face detector
S. Zhang, X. Zhu, Z. Lei, H. Shi, X. Wang, and S. Z. Li · 2017
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Cms-rcnn: contextual multi-scale region-based cnn for unconstrained face detection
C. Zhu, Y. Zheng, K. Luu, and M. Savvides · 2017
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