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Boosting Semi-Supervised Face Recognition with Noise Robustness
Although deep face recognition benefits significantly from large-scale t...
05/10/2021 ∙ by Yuchi Liu, et al. ∙
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Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
With the recent development of deep convolutional neural networks and la...
05/10/2021 ∙ by Hailin Shi, et al. ∙
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Towards NIR-VIS Masked Face Recognition
Near-infrared to visible (NIR-VIS) face recognition is the most common c...
04/14/2021 ∙ by Hang Du, et al. ∙
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Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
Due to the subjective annotation and the inherent interclass similarity ...
04/01/2021 ∙ by Jiahui She, et al. ∙
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CM-NAS: Rethinking Cross-Modality Neural Architectures for Visible-Infrared Person Re-Identification
Visible-Infrared person re-identification (VI-ReID) aims at matching cro...
01/21/2021 ∙ by Chaoyou Fu, et al. ∙
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FaceX-Zoo: A PyTorch Toolbox for Face Recognition
Deep learning based face recognition has achieved significant progress i...
01/12/2021 ∙ by Jun Wang, et al. ∙
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The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
Face recognition is one of the most fundamental and long-standing topics...
09/28/2020 ∙ by Hang Du, et al. ∙
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NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition
Deep face recognition has made remarkable advances in the last few years...
07/20/2020 ∙ by Dan Zeng, et al. ∙
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Semi-Siamese Training for Shallow Face Learning
Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...
07/16/2020 ∙ by Hang Du, et al. ∙
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Mis-classified Vector Guided Softmax Loss for Face Recognition
Face recognition has witnessed significant progress due to the advances ...
11/26/2019 ∙ by Xiaobo Wang, et al. ∙
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MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Deep neural networks (DNNs) are vulnerable to adversarial attack which i...
08/06/2019 ∙ by Chen Ma, et al. ∙
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A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark
Face parsing, which is to assign a semantic label to each pixel in face ...
05/13/2019 ∙ by Yinglu Liu, et al. ∙
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Grand Challenge of 106-Point Facial Landmark Localization
Facial landmark localization is a very crucial step in numerous face rel...
05/09/2019 ∙ by Yinglu Liu, et al. ∙
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Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing
Face anti-spoofing is crucial to the security of face recognition system...
04/29/2019 ∙ by Chenxu Zhao, et al. ∙
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Improved Selective Refinement Network for Face Detection
As a long-standing problem in computer vision, face detection has attrac...
01/20/2019 ∙ by Shifeng Zhang, et al. ∙
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Support Vector Guided Softmax Loss for Face Recognition
Face recognition has witnessed significant progresses due to the advance...
12/29/2018 ∙ by Xiaobo Wang, et al. ∙
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CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-Spoofing
Face anti-spoofing is essential to prevent face recognition systems from...
12/02/2018 ∙ by Shifeng Zhang, et al. ∙
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ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch
Current state-of-the-art object objectors are fine-tuned from the off-th...
10/19/2018 ∙ by Rui Zhu, et al. ∙
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Large-scale Bisample Learning on ID vs. Spot Face Recognition
In many face recognition applications, there is large amount of face dat...
06/08/2018 ∙ by Xiangyu Zhu, et al. ∙
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Embedding Deep Metric for Person Re-identication A Study Against Large Variations
Person re-identification is challenging due to the large variations of p...
11/01/2016 ∙ by Hailin Shi, et al. ∙
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