D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector-Reference-Cited by-同舟云学术

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D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector

Published:2020-09-28 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Joint Conference on Biometrics (IJCB)
language:
Short-container-title:

Author:

Sharma Renu,Ross Arun

Funder

Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9304574/9304852/09304880.pdf?arnumber=9304880

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Overview Frequency Principle/Spectral Bias in Deep Learning;Communications on Applied Mathematics and Computation;2024-09-04

2. Deep Learning for Iris Recognition: A Survey;ACM Computing Surveys;2024-04-24

3. Learning Joint Local-Global Iris Representations via Spatial Calibration for Generalized Presentation Attack Detection;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-04

4. Deep learning techniques for biometric security: A systematic review of presentation attack detection systems;Engineering Applications of Artificial Intelligence;2024-03

5. Iris Presentation Attack: Assessing the Impact of Combining Vanadium Dioxide Films with Artificial Eyes;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

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