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Face Anti-Spoofing (FAS) is crucial for securing face recognition systems against presentation attacks.
Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Yarin Gal and Zoubin Ghahramani · 2016
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Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding
Alex Kendall, Vijay Badrinarayanan, and Roberto Cipolla · 2017
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Learning deep forest with multi-scale local binary pattern features for face anti-spoofing
Rizhao Cai and Changsheng Chen · 2019
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Domain adaptation in multi-channel autoencoder based features for robust face anti-spoofing
Olegs Nikisins, Anjith George, and Sébastien Marcel · 2019
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Multi-adversarial discriminative deep domain generalization for face presentation attack detection
Rui Shao, Xiangyuan Lan, Jiawei Li, and Pong C. Yuen · 2019
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Facebagnet: Bag-of-local-features model for multi-modal face anti-spoofing
Tao Shen, Yuyu Huang, and Zhijun Tong · 2019
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Biometric face presentation attack detection with multi-channel convolutional neural network
Anjith George, Zohreh Mostaani, David Geissenbuhler, Olegs Nikisins, André Anjos, and Sébastien Marcel · 2020
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Single-side domain generalization for face anti-spoofing
Yunpei Jia, Jie Zhang, Shiguang Shan, and Xilin Chen · 2020
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Uncertainty-aware physically-guided proxy tasks for unseen domain face anti-spoofing
Junru Wu, Xiang Yu, Buyu Liu, Zhangyang Wang, and Manmohan Chandraker · 2020
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CASIA-SURF: A large-scale multi-modal benchmark for face anti-spoofing
Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, and Stan Z. Li · 2020
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Drl-fas: A novel framework based on deep reinforcement learning for face anti-spoofing
Rizhao Cai, Haoliang Li, Shiqi Wang, Changsheng Chen, and Alex C. Kot · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Uncertainty propagation for dropout-based bayesian neural networks
Yuki Mae, Wataru Kumagai, and Takafumi Kanamori · 2021
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Domain generalization via gradient surgery
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, and Enzo Ferrante · 2021
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Detection and continual learning of novel face presentation attacks
Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, and Wael Abd-Almageed · 2021
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Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, and Laurent Sifre · 2022
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Learning meta pattern for face anti-spoofing
Rizhao Cai, Zhi Li, Renjie Wan, Haoliang Li, Yongjian Hu, and Alex C. Kot · 2022
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Adapting neural models with sequential monte carlo dropout
Pamela Carreno, Dana Kulic, and Michael Burke · 2022
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Energy-based domain generalization for face anti-spoofing
Zhekai Du, Jingjing Li, Lin Zuo, Lei Zhu, and Ke Lu · 2022
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Uncertainty-guided probabilistic transformer for complex action recognition
Hongji Guo, Hanjing Wang, and Qiang Ji · 2022
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Adaptive transformers for robust few-shot cross-domain face anti-spoofing
Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, and Ming-Hsuan Yang · 2022
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Dual-branch meta-learning network with distribution alignment for face anti-spoofing
Yunpei Jia, Jie Zhang, and Shiguang Shan · 2022
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Beyond the pixel world: a novel acoustic-based face anti-spoofing system for smartphones
Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloé Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross B. Girshick · 2023
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M3fas: An accurate and robust multimodal mobile face anti-spoofing system
Chenqi Kong, Kexin Zheng, Yibing Liu, Shiqi Wang, Anderson Rocha, and Haoliang Li · 2023
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Domain invariant vision transformer learning for face anti-spoofing
Chen-Hao Liao, Wen-Cheng Chen, Hsuan-Tung Liu, Yi-Ren Yeh, Min-Chun Hu, and Chu-Song Chen · 2023
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Image manipulation detection by multiple tampering traces and edge artifact enhancement
Xun Lin, Shuai Wang, Jiahao Deng, Ying Fu, Xiao Bai, Xinlei Chen, Xiaolei Qu, and Wenzhong Tang · 2023
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Guiding pseudo-labels with uncertainty estimation for source-free unsupervised domain adaptation
Mattia Litrico, Alessio Del Bue, and Pietro Morerio · 2023
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Chenqi Kong, Kexin Zheng, Shiqi Wang, Anderson Rocha, and Haoliang Li · 2022
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One-class knowledge distillation for face presentation attack detection
Zhi Li, Rizhao Cai, Haoliang Li, Kwok-Yan Lam, Yongjian Hu, and Alex C. Kot · 2022
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Ma-vit: Modality-agnostic vision transformers for face anti-spoofing
Ajian Liu and Yanyan Liang · 2022
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Balanced multimodal learning via on-the-fly gradient modulation
Xiaokang Peng, Yake Wei, Andong Deng, Dong Wang, and Di Hu · 2022
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Meta-teacher for face anti-spoofing
Yunxiao Qin, Zitong Yu, Longbin Yan, Zezheng Wang, Chenxu Zhao, and Zhen Lei · 2022
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Domain generalization via shuffled style assembly for face anti-spoofing
Zhuo Wang, Zezheng Wang, Zitong Yu, Weihong Deng, Jiahong Li, Tingting Gao, and Zhongyuan Wang · 2022
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Towards robust rain removal against adversarial attacks: A comprehensive benchmark analysis and beyond
Yi Yu, Wenhan Yang, Yap-Peng Tan, and Alex C Kot · 2022
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Spoof trace disentanglement for generic face anti-spoofing
Yaojie Liu and Xiaoming Liu · 2023
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Forgery-aware adaptive vision transformer for face forgery detection
Anwei Luo, Rizhao Cai, Chenqi Kong, Xiangui Kang, Jiwu Huang, and Alex C. Kot · 2023
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Flip: Cross-domain face anti-spoofing with language guidance
Koushik Srivatsan, Muzammal Naseer, and Karthik Nandakumar · 2023
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Rethinking domain generalization for face anti-spoofing: Separability and alignment
Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, and Wen-Sheng Chu · 2023
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pmbqa: Projection-based blind point cloud quality assessment via multimodal learning
Wuyuan Xie, Kaimin Wang, Yakun Ju, and Miaohui Wang · 2023
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Uncertainty quantification in intelligent-based electrical resistivity tomography image reconstruction with monte carlo dropout strategy
Lan Xixi, Changchun Zou, Cheng Peng, and Caowei Wu · 2023
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Multimodal learning with transformers: A survey
Peng Xu, Xiatian Zhu, and David A Clifton · 2023
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Cyclically disentangled feature translation for face anti-spoofing
Haixiao Yue, Keyao Wang, Guosheng Zhang, Haocheng Feng, Junyu Han, Errui Ding, and Jingdong Wang · 2023
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Provable dynamic fusion for low-quality multimodal data
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, and Xi Peng · 2023
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Instance-aware domain generalization for face anti-spoofing
Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Ran Yi, Shouhong Ding, and Lizhuang Ma · 2023
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Benchmarking joint face spoofing and forgery detection with visual and physiological cues
Zitong Yu, Rizhao Cai, Zhi Li, Wenhan Yang, Jingang Shi, and Alex C. Kot · 2024
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