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Huang, Marwan Mattar, Tamara Berg, Eric Learned-Miller. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments[C]. In European Conference on Computer Vision (ECCV). 2008."},{"key":"e_1_3_2_1_26_1","first-page":"5060","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Li J.","year":"2019","unstructured":"Li , J. , Wang , Y. , Wang , C. , Tai , Y. , Qian , J. , Yang , J. , & Huang , F. DSFD : dual shot face detector[C] . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019 , pp. 5060 -- 5069 . Li, J., Wang, Y., Wang, C., Tai, Y., Qian, J., Yang, J., & Huang, F. DSFD: dual shot face detector[C]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019, pp. 5060--5069."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2930304"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"e_1_3_2_1_29_1","first-page":"315","volume-title":"Advances in neural information processing systems.","author":"Johnson R.","year":"2013","unstructured":"Johnson , R. , & Zhang , T. Accelerating stochastic gradient descent using predictive variance reduction[C] . In Advances in neural information processing systems. 2013 , pp. 315 -- 323 . Johnson, R., & Zhang, T. Accelerating stochastic gradient descent using predictive variance reduction[C]. 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