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Although tremendous strides have been made in face detection, one of the remaining open challenges is to achieve real-time speed on the CPU as well as maintain high performance, since effective models for face detection tend to be computationally prohibitive.
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D. Chen, S. Ren, Y. Wei, X. Cao, and J. Sun · 2014
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H. Li, Z. Lin, J. Brandt, X. Shen, and G. Hua · 2014
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M. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool · 2014
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Face detection by structural models
J. Yan, X. Zhang, Z. Lei, and S. Z. Li · 2014
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B. Yang, J. Yan, Z. Lei, and S. Z. Li · 2014
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Multi-view face detection using deep convolutional neural networks
S. S. Farfade, M. J. Saberian, and L.-J. Li · 2015
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Occlusion coherence: Detecting and localizing occluded faces
G. Ghiasi and C. Fowlkes · 2015
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Visual phrases for exemplar face detection
V. Kumar, A. Namboodiri, and C. Jawahar · 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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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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R. Ranjan, V. M. Patel, and R. Chellappa · 2016
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Understanding and improving convolutional neural networks via concatenated rectified linear units
W. Shang, K. Sohn, D. Almeida, and H. Lee · 2016
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A fast deep convolutional neural network for face detection in big visual data
D. Triantafyllidou and A. Tefas · 2016
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S. Yang, P. Luo, C. C. Loy, and X. Tang · 2016
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J. Yu, Y. Jiang, Z. Wang, Z. Cao, and T. Huang · 2016
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K. Zhang, Z. Zhang, Z. Li, and Y. Qiao · 2016
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C. Zhu, Y. Zheng, K. Luu, and M. Savvides · 2016
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X. Zhu, Z. Lei, X. Liu, H. Shi, and S. Z. Li · 2016
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