Improving Robustness of Facial Landmark Detection by Defending against Adversarial Attacks
Author:
Affiliation:
1. Shanghai University,School of Computer Engineering and Science,Shanghai,China
Funder
Shanghai University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710591.pdf?arnumber=9710591
Reference51 articles.
1. Masked face recognition dataset and application;wang,2020
2. Image Quality Assessment: From Error Visibility to Structural Similarity
3. The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results
4. Cascaded Continuous Regression for Real-Time Incremental Face Tracking
5. 300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge
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