Comparative evaluation of deep learning methods for masked face recognition
The thesis presents methods for improving the efficiency and accuracy of masked face recognition systems, which have become increasingly important in the aftermath of the COVID-19 pandemicThree different methods are proposed and evaluated, namely CNNSVM, PRFCNN, and HRNN. The CNNSVM method combines...
Saved in:
Main Author: | Chong, Lucas Wei Jie |
---|---|
Format: | Thesis |
Published: |
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa
by: Muhd Suberi, Anis Azwani
Published: (2020) -
Oil palm tree counting and disease detection using deep neural network
by: Lee, Chee Cheong
Published: (2023) -
Software Architecture Evaluation Using Architecture Tradeoff Analysis Method (ATAM): A Case Study of UUM Learning Zone System
by: Haruna, Mohammed Zaharadden
Published: (2010) -
Optical Character Recognition (OCR) for Mobile Application
by: Salameh, Anas Abdelsatar Mohammad
Published: (2010) -
Discrete wavelet packet transform for electroencephalogram based valence-arousal emotion recognition
by: Olakunle, Oyenuga Wasiu
Published: (2015)