Morph Detection Enhanced by Structured Group Sparsity-Reference-Cited by-同舟云学术

Morph Detection Enhanced by Structured Group Sparsity

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
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Author:

Aghdaie Poorya¹,Chaudhary Baaria¹,Soleymani Sobhan¹,Dawson Jeremy¹,Nasrabadi Nasser M.¹

Affiliation:

1. West Virginia University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9707470/9707509/09707565.pdf?arnumber=9707565

Reference53 articles.

1. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

2. Accurate and robust neural networks for security related applications exampled by face morphing attacks;seibold;arXiv preprint arXiv 1806 04265,2018

3. On the vulnerability of face recognition systems towards morphed face attacks

4. Face morph detection for unknown morphing algorithms and image sources: a multi‐scale block local binary pattern fusion approach

5. Detection of Face Morphing Attacks Based on PRNU Analysis

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