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As a long-standing problem in computer vision, face detection has attracted much attention in recent decades for its practical applications.
Edge boxes: Locating object proposals from edges
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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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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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 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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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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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 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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A unified multi-scale deep convolutional neural network for fast object detection
Z. Cai, Q. Fan, R. S. Feris, and N. Vasconcelos · 2016
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R-fcn: Object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Face detection with end-to-end integration of a convnet and a 3d model
Y. Li, B. Sun, T. Wu, and Y. Wang · 2016
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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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To boost or not to boost? on the limits of boosted trees for object detection
E. Ohn-Bar and M. M. Trivedi · 2016
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Joint training of cascaded CNN for face detection
H. Qin, J. Yan, X. Li, and X. Hu · 2016
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Wider face: A face detection benchmark
S. Yang, P. Luo, C.-C. Loy, and X. Tang · 2016
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Unitbox: An advanced object detection network
J. Yu, Y. Jiang, Z. Wang, Z. Cao, and T. S. Huang · 2016
Cited alongside, same era.
Joint face detection and alignment using multitask cascaded convolutional networks
K. Zhang, Z. Zhang, Z. Li, and Y. Qiao · 2016
Cited alongside, same era.
Cms-rcnn: contextual multi-scale region-based cnn for unconstrained face detection
C. Zhu, Y. Zheng, K. Luu, and M. Savvides · 2016
Cited alongside, same era.
Scale-aware face detection
Z. Hao, Y. Liu, H. Qin, J. Yan, X. Li, and X. Hu · 2017
Cited alongside, same era.
Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2017
Cited alongside, same era.
Finding tiny faces
P. Hu and D. Ramanan · 2017
Cascade r-cnn: Delving into high quality object detection
Z. Cai and N. Vasconcelos · 2018
Later among the works it cites.
Revisiting rcnn: On awakening the classification power of faster rcnn
B. Cheng, Y. Wei, H. Shi, R. Feris, J. Xiong, and T. Huang · 2018
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Rethinking imagenet pre-training
K. He, R. Girshick, and P. Dollár · 2018
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J. Li, Y. Wang, C. Wang, Y. Tai, J. Qian, J. Yang, C. Wang, J. Li, and F. Huang · 2018
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Fa-rpn: Floating region proposals for face detection
M. Najibi, B. Singh, and L. S. Davis · 2018
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Cited alongside, same era.
Densely connected convolutional networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
Cited alongside, same era.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollar · 2017
Cited alongside, same era.
Ssh: Single stage headless face detector
M. Najibi, P. Samangouei, R. Chellappa, and L. S. Davis · 2017
Cited alongside, same era.
Pytorch, 2017
A. Paszke, S. Gross, S. Chintala, and G. Chanan · 2017
Cited alongside, same era.
H. Wang, Z. Li, X. Ji, and Y. Wang · 2017
Cited alongside, same era.
Real-time rotation-invariant face detection with progressive calibration networks
X. Shi, S. Shan, M. Kan, S. Wu, and X. Chen · 2018
Later among the works it cites.
Beyond trade-off: Accelerate fcn-based face detector with higher accuracy
G. Song, Y. Liu, M. Jiang, Y. Wang, J. Yan, and B. Leng · 2018
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Pyramidbox: A context-assisted single shot face detector
X. Tang, D. K. Du, Z. He, and J. Liu · 2018
Later among the works it cites.
Learning better features for face detection with feature fusion and segmentation supervision
W. Tian, Z. Wang, H. Shen, W. Deng, B. Chen, and X. Zhang · 2018
Later among the works it cites.
Group normalization
Y. Wu and K. He · 2018
Later among the works it cites.
Face detection using improved faster rcnn
C. Zhang, X. Xu, and D. Tu · 2018
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Single-shot refinement neural network for object detection
S. Zhang, L. Wen, X. Bian, Z. Lei, and S. Z. Li · 2018
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Detecting face with densely connected face proposal network
S. Zhang, X. Zhu, Z. Lei, X. Wang, H. Shi, and S. Z. Li · 2018
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Single-shot object detection with enriched semantics
Z. Zhang, S. Qiao, C. Xie, W. Shen, B. Wang, and A. L. Yuille · 2018
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Seeing small faces from robust anchor’s perspective
C. Zhu, R. Tao, K. Luu, and M. Savvides · 2018
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Scratchdet: Exploring to train single-shot object detectors from scratch
R. Zhu, S. Zhang, X. Wang, L. Wen, H. Shi, L. Bo, and T. Mei · 2018
Later among the works it cites.
Selective refinement network for high performance face detection
C. Chi, S. Zhang, J. Xing, Z. Lei, S. Z. Li, and X. Zou · 2019
Closest in time.
Robust and high performance face detector
Y. Zhang, X. Xu, and X. Liu · 2019
Closest in time.