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Embedding methods have achieved success in face recognition by comparing facial features in a latent semantic space.
A practical bayesian framework for backpropagation networks
David JC MacKay · 1992
Earlier work this paper cites.
Bayesian learning for neural networks
Radford M Neal · 1995
Earlier work this paper cites.
Face recognition from long-term observations
Gregory Shakhnarovich, John W Fisher, and Trevor Darrell · 2002
Earlier work this paper cites.
Face recognition with image sets using manifold density divergence
Ognjen Arandjelovic, Gregory Shakhnarovich, John Fisher, Roberto Cipolla, and Trevor Darrell · 2005
Earlier work this paper cites.
Modelling uncertainty in representation of facial features for face recognition
PS Hiremath, Ajit Danti, and CJ Prabhakar · 2007
Earlier work this paper cites.
Labeled faces in the wild: A database for studying face recognition in unconstrained environments
Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller · 2007
Earlier work this paper cites.
Face recognition based on image sets
Hakan Cevikalp and Bill Triggs · 2010
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Face recognition in unconstrained videos with matched background similarity
Lior Wolf, Tal Hassner, and Itay Maoz · 2011
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Probabilistic elastic matching for pose variant face verification
Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, and Jianchao Yang · 2013
Earlier work this paper cites.
Deepface: Closing the gap to human-level performance in face verification
Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, and Lior Wolf · 2014
Earlier work this paper cites.
Data uncertainty in face recognition
Yong Xu, Xiaozhao Fang, Xuelong Li, Jiang Yang, Jane You, Hong Liu, and Shaohua Teng · 2014
Earlier work this paper cites.
Learning face representation from scratch
Dong Yi, Zhen Lei, Shengcai Liao, and Stan Z Li · 2014
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Log-euclidean metric learning on symmetric positive definite manifold with application to image set classification
Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xianqiu Li, and Xilin Chen · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding
Alex Kendall, Vijay Badrinarayanan, and Roberto Cipolla · 2015
Earlier work this paper cites.
Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A
Brendan F Klare, Ben Klein, Emma Taborsky, Austin Blanton, Jordan Cheney, Kristen Allen, Patrick Grother, Alan Mah, and Anil K Jain · 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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Deeply learned face representations are sparse, selective, and robust
Yi Sun, Xiaogang Wang, and Xiaoou Tang · 2015
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A light cnn for deep face representation with noisy labels
Xiang Wu, Ran He, Zhenan Sun, and Tieniu Tan · 2015
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Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Yarin Gal and Zoubin Ghahramani · 2016
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Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Disentangled representation learning gan for pose-invariant face recognition
Luan Tran, Xi Yin, and Xiaoming Liu · 2017
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Neural aggregation network for video face recognition
Jiaolong Yang, Peiran Ren, Dongqing Zhang, Dong Chen, Fang Wen, Hongdong Li, and Gang Hua · 2017
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Vggface2: A dataset for recognising faces across pose and age
Qiong Cao, Li Shen, Weidi Xie, Omkar M Parkhi, and Andrew Zisserman · 2018
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IJB-S : IARPA Janus Surveillance Video Benchmark
Nathan D. Kalka, Brianna Maze, James A. Duncan, Kevin J. O’Connor, Stephen Elliott, Kaleb Hebert, Julia Bryan, and Anil K. Jain · 2018
Later among the works it cites.
Iarpa janus benchmark-c: Face dataset and protocol
Brianna Maze, Jocelyn Adams, James A Duncan, Nathan Kalka, Tim Miller, Otto Charles, Anil K Jain, Niggel Tyler, Janet Anderson, Jordan Cheney, and Patrick Grother · 2018
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Additive margin softmax for face verification
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Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 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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Triplet probabilistic embedding for face verification and clustering
Swami Sankaranarayanan, Azadeh Alavi, Carlos D Castillo, and Rama Chellappa · 2016
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Frontal to profile face verification in the wild
Soumyadip Sengupta, Jun-Cheng Chen, Carlos Castillo, Vishal M Patel, Rama Chellappa, and David W Jacobs · 2016
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A discriminative feature learning approach for deep face recognition
Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao · 2016
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A discriminative feature learning approach for deep face recognition
Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao · 2016
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On the capacity of face representation
Sixue Gong, Vishnu Naresh Boddeti, and Anil K Jain · 2017
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Feng Wang, Jian Cheng, Weiyang Liu, and Haijun Liu · 2018
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Cosface: Large margin cosine loss for deep face recognition
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu · 2018
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Comparator networks
Weidi Xie, Li Shen, and Andrew Zisserman · 2018
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Multicolumn networks for face recognition
Weidi Xie and Andrew Zisserman · 2018
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Towards interpretable face recognition
Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, and Xiaoming Liu · 2018
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Multi-task convolutional neural network for pose-invariant face recognition
Xi Yin and Xiaoming Liu · 2018
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Video face recognition: Component-wise feature aggregation network (c-fan)
Sixue Gong, Yichun Shi, and Anil K Jain · 2019
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Striking the right balance with uncertainty
Salman Khan, Munawar Hayat, Waqas Zamir, Jianbing Shen, and Ling Shao · 2019
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Face recognition with bayesian convolutional networks for robust surveillance systems
Umara Zafar, Mubeen Ghafoor, Tehseen Zia, Ghufran Ahmed, Ahsan Latif, Kaleem Razzaq Malik, and Abdullahi Mohamud Sharif · 2019
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