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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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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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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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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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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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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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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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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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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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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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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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