Ying Zhan's research while affiliated with Kaunas University of Technology and other places

What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.

It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.

If you're a ResearchGate member, you can follow this page to keep up with this author's work.

If you are this author, and you don't want us to display this page anymore, please let us know.

Publication (1)

Figure 1. CASIA dataset images samples. The second dataset is a...
Figure 2. VGG-FACE dataset images samples.
Figure 3. Combined dataset images samples.
Figure 4. Sample of training images after augmentation.
+8 Figure 5. Illustration of Cutmix and MixUp image augmentations.
Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques
Article
Full-text available
  • Jun 2023
The paper presents an evaluation of a Pareto-optimized FaceNet model with data preprocessing techniques to improve the accuracy of face recognition in the era of mask-wearing. The COVID-19 pandemic has led to an increase in mask-wearing, which poses a challenge for face recognition systems. The proposed model uses Pareto optimization to balance acc...
Cite
Download full-text

Citations

... The implementation of face alignment can notably enhance the accuracy of face recognition models, as demonstrated by Google's FaceNet [12]. In this example, FaceNet's accuracy improved from 98.87% to an impressive 99.63%. ...
Reference: Facial Feature-Based Microsleep Detection with High Precision Using Deep Learning
View full-text