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Deep learning based face recognition has achieved significant progress in recent years.
Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Gary B Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller · 2008
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, and Zheng Zhang · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
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Openface: A general-purpose face recognition library with mobile applications
Brandon Amos, Bartosz Ludwiczuk, and Mahadev Satyanarayanan · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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The megaface benchmark: 1 million faces for recognition at scale
Ira Kemelmacher-Shlizerman, Steven M Seitz, Daniel Miller, and Evan Brossard · 2016
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Wider face: A face detection benchmark
Shuo Yang, Ping Luo, Chen-Change Loy, and Xiaoou Tang · 2016
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Agedb: the first manually collected, in-the-wild age database
Stylianos Moschoglou, Athanasios Papaioannou, Christos Sagonas, Jiankang Deng, Irene Kotsia, and Stefanos Zafeiriou · 2017
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Residual attention network for image classification
Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, and Xiaoou Tang · 2017
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Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments
Tianyue Zheng, Weihong Deng, and Jiani Hu · 2017
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Mobilefacenets: Efficient cnns for accurate real-time face verification on mobile devices
Sheng Chen, Yang Liu, Xiang Gao, and Zhen Han · 2018
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Joint 3d face reconstruction and dense alignment with position map regression network
Yao Feng, Fan Wu, Xiaohu Shao, Yanfeng Wang, and Xi Zhou · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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Additive margin softmax for face verification
Feng Wang, Jian Cheng, Weiyang Liu, and Haijun Liu · 2018
Cited alongside, same era.
A light cnn for deep face representation with noisy labels
Xiang Wu, Ran He, Zhenan Sun, and Tieniu Tan · 2018
Cited alongside, same era.
Cross-pose lfw: A database for studying cross-pose face recognition in unconstrained environments
Tianyue Zheng and Weihong Deng · 2018
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Retinaface: Single-stage dense face localisation in the wild
Jiankang Deng, Jia Guo, Yuxiang Zhou, Jinke Yu, Irene Kotsia, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Semi-siamese training for shallow face learning
Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, and Tao Mei · 2020
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Ghostnet: More features from cheap operations
Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, and Chang Xu · 2020
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Tf-nas: Rethinking three search freedoms of latency-constrained differentiable neural architecture search
Yibo Hu, Xiang Wu, and Ran He · 2020
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Curricularface: adaptive curriculum learning loss for deep face recognition
Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, and Feiyue Huang · 2020
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A new dataset and boundary-attention semantic segmentation for face parsing
Yinglu Liu, Hailin Shi, Hao Shen, Yue Si, Xiaobo Wang, and Tao Mei · 2020
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Circle loss: A unified perspective of pair similarity optimization
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Xiaojie Guo, Siyuan Li, Jinke Yu, Jiawan Zhang, Jiayi Ma, Lin Ma, Wei Liu, and Haibin Ling · 2019
Cited alongside, same era.
Adaptiveface: Adaptive margin and sampling for face recognition
Hao Liu, Xiangyu Zhu, Zhen Lei, and Stan Z Li · 2019
Cited alongside, same era.
Grand challenge of 106-point facial landmark localization
Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, et al · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Cited alongside, same era.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V Le · 2019
Cited alongside, same era.
Racial faces in the wild: Reducing racial bias by information maximization adaptation network
Mei Wang, Weihong Deng, Jiani Hu, Xunqiang Tao, and Yaohai Huang · 2019
Cited alongside, same era.
Mis-classified vector guided softmax loss for face recognition
Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, and Tao Mei · 2019
Cited alongside, same era.
Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, and Yichen Wei · 2020
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Deep high-resolution representation learning for visual recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, et al · 2020
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Mis-classified vector guided softmax loss for face recognition
Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, and Tao Mei · 2020
Later among the works it cites.
Learning an evolutionary embedding via massive knowledge distillation
Xiang Wu, Ran He, Yibo Hu, and Zhenan Sun · 2020
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Npcface: A negative-positive cooperation supervision for training large-scale face recognition
Dan Zeng, Hailin Shi, Hang Du, Jun Wang, Zhen Lei, and Tao Mei · 2020
Later among the works it cites.
Resnest: Split-attention networks
Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, and Alexander Smola · 2020
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Repvgg: Making vgg-style convnets great again
Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, and Jian Sun · 2021
Closest in time.
Rethinking channel dimensions for efficient model design
Dongyoon Han, Sangdoo Yun, Byeongho Heo, and Youngjoon Yoo · 2021
Closest in time.