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Face recognition has achieved significant progress in deep learning era due to the ultra-large-scale and welllabeled datasets.
Classes for fast maximum entropy training
Joshua Goodman · 2001
Earlier work this paper cites.
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
Earlier work this paper cites.
Beyond sliding windows: Object localization by efficient subwindow search
Christoph H Lampert, Matthew B Blaschko, and Thomas Hofmann · 2008
Earlier work this paper cites.
Face recognition in unconstrained videos with matched background similarity
Lior Wolf, Tal Hassner, and Itay Maoz · 2011
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Learning face representation from scratch
Dong Yi, Zhen Lei, Shengcai Liao, and Stan Z Li · 2014
Earlier work this paper cites.
Deep face recognition
Omkar M. Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Earlier work this paper cites.
Deeply learned face representations are sparse, selective, and robust
Yi Sun, Xiaogang Wang, and Xiaoou Tang · 2015
Earlier work this paper cites.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Earlier work this paper cites.
Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
The megaface benchmark: 1 million faces for recognition at scale
Ira Kemelmacher-Shlizerman, Steven M Seitz, Daniel Miller, and Evan Brossard · 2016
Earlier work this paper cites.
Frontal to profile face verification in the wild
S. Sengupta, J. Chen, C. Castillo, V. M. Patel, R. Chellappa, and D. W. Jacobs · 2016
Earlier work this paper cites.
Improved deep metric learning with multi-class n-pair loss objective
Kihyuk Sohn · 2016
Earlier work this paper cites.
Wider face: A face detection benchmark
Shuo Yang, Ping Luo, Chen-Change Loy, and Xiaoou Tang · 2016
Earlier work this paper cites.
Large scale similarity learning using similar pairs for person verification
Yang Yang, Shengcai Liao, Zhen Lei, and Stan Z Li · 2016
Cited alongside, same era.
Umdfaces: An annotated face dataset for training deep networks
Ankan Bansal, Anirudh Nanduri, Carlos D Castillo, Rajeev Ranjan, and Rama Chellappa · 2017
Cited alongside, same era.
Sphereface: Deep hypersphere embedding for face recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song · 2017
Cited alongside, same era.
Agedb: the first manually collected, in-the-wild age database
Stylianos Moschoglou, Athanasios Papaioannou, Christos Sagonas, Jiankang Deng, Irene Kotsia, and Stefanos Zafeiriou · 2017
Cited alongside, same era.
Residual attention network for image classification
Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, and Xiaoou Tang · 2017
Cited alongside, same era.
Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments
Cross-pose lfw: A database for studying cross-pose face recognition in unconstrained environments
Tianyue Zheng and Weihong Deng · 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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Multi-similarity loss with general pair weighting for deep metric learning
Xun Wang, Xintong Han, Weilin Huang, Dengke Dong, and Matthew R Scott · 2019
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Co-mining: Deep face recognition with noisy labels
Xiaobo Wang, Shuo Wang, Jun Wang, Hailin Shi, and Tao Mei · 2019
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Partial fc: Training 10 million identities on a single machine
Xiang An, Xuhan Zhu, Yang Xiao, Lan Wu, Ming Zhang, Yuan Gao, Bin Qin, Debing Zhang, and Ying Fu · 2020
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Tianyue Zheng, Weihong Deng, and Jiani Hu · 2017
Cited alongside, same era.
Vggface2: A dataset for recognising faces across pose and age
Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, and Andrew Zisserman · 2018
Cited alongside, same era.
Mobilefacenets: Efficient cnns for accurate real-time face verification on mobile devices
Sheng Chen, Yang Liu, Xiang Gao, and Zhen Han · 2018
Cited alongside, same era.
Pairwise relational networks for face recognition
Bong-Nam Kang, Yonghyun Kim, and Daijin Kim · 2018
Cited alongside, same era.
Transductive centroid projection for semi-supervised large-scale recognition
Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, and Xiaogang Wang · 2018
Cited alongside, same era.
Iarpa janus benchmark-c: Face dataset and protocol
Brianna Maze, Jocelyn Adams, James A Duncan, Nathan Kalka, Tim Miller, Charles Otto, Anil K Jain, W Tyler Niggel, Janet Anderson, Jordan Cheney, et al · 2018
Cited alongside, same era.
The devil of face recognition is in the noise
Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, and Chen Change Loy · 2018
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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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Suppressing mislabeled data via grouping and self-attention
Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, and Yu Qiao · 2020
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Suppressing uncertainties for large-scale facial expression recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, and Yu Qiao · 2020
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Region attention networks for pose and occlusion robust facial expression recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, and Yu Qiao · 2020
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Loss function search for face recognition
Xiaobo Wang, Shuo Wang, Cheng Chi, Shifeng Zhang, and Tao Mei · 2020
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Dynamic class queue for large scale face recognition in the wild, 2021
Bi Li, Teng Xi, Gang Zhang, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, and Wenyu Liu · 2021
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Mask aware network for masked face recognition in the wild
Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, and Yang You · 2021
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Webface260m: A benchmark unveiling the power of million-scale deep face recognition
Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, et al · 2021
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Crafting better contrastive views for siamese representation learning
Xiangyu Peng, Kai Wang, Zheng Zhu, and Yang You · 2022
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Cafe: Learning to condense dataset by aligning features
Kai Wang, Bo Zhao, Xiangyu Peng, Yang You, et al · 2022
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