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Face recognition algorithms based on deep convolutional neural networks (DCNNs) have made progress on the task of recognizing faces in unconstrained viewing conditions.
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G. B. Huang, H. Lee, and E. Learned-Miller, “Learning hierarchical representations for face verification with convolutional deep belief networks,” in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on . IEEE, 2012, pp. 2518–2525
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A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in neural information processing systems , 2012, pp. 1097–1105
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2013
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Y. Taigman, M. Yang, M. Ranzato, and L. Wolf, “Deepface: Closing the gap to human-level performance in face verification,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE, 2014, pp. 1701–1708
2014
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2015
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2015
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O. M. Parkhi, A. Vedaldi, and A. Zisserman, “Deep face recognition,” Proceedings of the British Machine Vision , 2015
2015
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F. Schroff, D. Kalenichenko, and J. Philbin, “Facenet: A unified embedding for face recognition and clustering,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2015
2015
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2016
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