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[62]WAN Li,ZEILER M,ZHANG Sixin,et al.Regulariza- tion of neural networks using DropConnect[C]//Proceed 作者简介： ings of the 30th International Conference on Machine 刘冰，女，1994年生，博士研究 Learning.Atlanta,GA,USA,2013:1058-1066. 生，主要研究方向为深度学习、计算机 [63]DENG Jiankang,ZHOU Yuxiang,ZAFEIRIOU S.Mar- 视觉和生物特征识别。 ginal loss for deep face recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recog- nition Workshops.Honolulu,USA,2017:60-68. [64]ZHANG Xiao,FANG Zhiyuan,WEN Yandong,et al. Range loss for deep face recognition with long-tailed training data[C]//Proceedings of the IEEE International 李瑞麟，男，1995年生，硕士研究 Conference on Computer Vision.Venice,Italy,2017: 生，主要研究方向为深度学习、计算机 5409-5418. 视觉和生物特征识别。 [65]WANG Feng,CHENG Jian,LIU Weiyang,et al.Addit- ive margin softmax for face verification[J].IEEE signal processing letters,2018,25(7):926-930. [66]CHEN Binghui,DENG Weihong,DU Junping.Noisy softmax:Improving the generalization ability of DCNN 封举富，男，1967年生，教授，博 via postponing the early softmax saturation[C]//Proceed- 士生导师，主要研究方向为图像处理 ings of the IEEE Conference on Computer Vision and 模式识别、机器学习和生物特征识 Pattern Recognition.Honolulu,USA,2017:5372-5381. 别。主持和参与国家自然科学基 [67]WAN Weitao,ZHONG Yuanyi,LI Tianpeng,et al.Re- 金、"十一五"国家科技支撑计划课题」 thinking feature distribution for loss functions in image 973计划等项目多项。曾获中国高校 classification[Cl//Proceedings of the IEEE Conference on 科技二等奖、第一届亚洲计算机视觉 Computer Vision and Pattern Recognition.Salt Lake City, 国际会议优秀论文奖、北京大学安泰教师奖、北京大学大众 USA,2018:9117-9126 电脑优秀奖、北京大学安泰项目奖等奖励多项。发表学术论 [68]QI Xianbiao,ZHANG Lei.Face recognition via central- 文300余篇。HINTON G E, SRIVASTAVA N, KRIZHEVSKY A, et al. Improving neural networks by preventing co-adapta￾tion of feature detectors[J]. arXiv preprint arXiv: 1207. 0580, 2012. [56] SERMANET P, EIGEN D, ZHANG Xiang, et al. Over￾Feat: Integrated recognition, localization and detection us￾ing convolutional networks[J]. arXiv preprint arXiv: 1312.6229, 2013. [57] HE Kaiming, ZHANG Xiangyu, REN Shaoqing, et al. Delving deep into rectifiers: Surpassing human-level per￾formance on imagenet classification[C]//Proceedings of the IEEE International Conference on Computer Vision. Santiago, Chile, 2015: 1026–1034. [58] TAIGMAN Y, Yang MING, RANZATO M A, et al. DeepFace: Closing the gap to human-level performance in face verification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Columbus, USA, 2014: 1701–1708. [59] SUN Yi, CHEN Yuheng, WANG Xiaogang, et al. Deep learning face representation by joint identification-verific￾ation[C]//Advances in Neural Information Processing Systems. Montreal, Quebec, Canada, 2014: 1988–1996. [60] SUN Yi, WANG Xiaogang, TANG Xiaoou. Deeply learned face representations are sparse, selective, and ro￾bust[C]// Proceedings of the IEEE Conference on Com￾puter Vision and Pattern Recognition. Boston, USA, 2015: 2892–2900. [61] WAN Li, ZEILER M, ZHANG Sixin, et al. Regulariza￾tion of neural networks using DropConnect[C]//Proceed￾ings of the 30th International Conference on Machine Learning. Atlanta, GA, USA, 2013: 1058–1066. [62] DENG Jiankang, ZHOU Yuxiang, ZAFEIRIOU S. Mar￾ginal loss for deep face recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recog￾nition Workshops. Honolulu, USA, 2017: 60–68. [63] ZHANG Xiao, FANG Zhiyuan, WEN Yandong, et al. Range loss for deep face recognition with long-tailed training data[C]//Proceedings of the IEEE International Conference on Computer Vision. Venice, Italy, 2017: 5409–5418. [64] WANG Feng, CHENG Jian, LIU Weiyang, et al. Addit￾ive margin softmax for face verification[J]. IEEE signal processing letters, 2018, 25(7): 926–930. [65] CHEN Binghui, DENG Weihong, DU Junping. Noisy softmax: Improving the generalization ability of DCNN via postponing the early softmax saturation[C]//Proceed￾ings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA, 2017: 5372–5381. [66] WAN Weitao, ZHONG Yuanyi, LI Tianpeng, et al. Re￾thinking feature distribution for loss functions in image classification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA, 2018: 9117–9126. [67] [68] QI Xianbiao, ZHANG Lei. Face recognition via central￾ized coordinate learning[J]. arXiv preprint arXiv: 1801. 05678, 2018. LIU Weiyang, WEN Yandong, YU Zhiding, et al. Sphere￾face: SphereFace: Deep hypersphere embedding for face recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA, 2017: 212–220. [69] WANG Hao, WANG Yitong, ZHOU Zheng, et al. Cos￾Face: Large margin cosine loss for deep face recognition[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA, 2018: 5265–5274. [70] LIU Weiyang, WEN Yandong, YU Zhiding, et al. Large￾Margin Softmax Loss for Convolutional Neural Net￾works[C]//Proceedings of the 33rd International Confer￾ence on Machine Learning. New York, USA, 2016, 2(3): 7. [71] BUCILUǍ C, CARUANA R, NICULESCU-MIZIL A. Model compression[C]//Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Dis￾covery and Data Mining. Philadelphia, USA, 2006: 535–541. [72] WAH C, BRANSON S, WELINDER P, et al. The Cal￾tech-UCSD Birds-200-2011 Dataset[R]. Computation & Neural Systems Technical Report, CNS-TR-2011-001, Pasadena, CA, USA: California Institute of Technology, 2011. [73] 作者简介： 刘冰，女，1994 年生，博士研究 生，主要研究方向为深度学习、计算机 视觉和生物特征识别。 李瑞麟，男，1995 年生，硕士研究 生，主要研究方向为深度学习、计算机 视觉和生物特征识别。 封举富，男，1967 年生，教授，博 士生导师，主要研究方向为图像处理、 模式识别、机器学习和生物特征识 别。主持和参与国家自然科学基 金、"十一五"国家科技支撑计划课题、 973 计划等项目多项。曾获中国高校 科技二等奖、第一届亚洲计算机视觉 国际会议优秀论文奖、北京大学安泰教师奖、北京大学大众 电脑优秀奖、北京大学安泰项目奖等奖励多项。发表学术论 文 300 余篇。 ·1072· 智 能 系 统 学 报 第 14 卷