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1. Improved Facial Expression Recognition Using Noisy Student Training and Synthetic Data Generation

open_access
Open Access
Author:
Kumar, Vikas
Title:
Improved Facial Expression Recognition Using Noisy Student Training and Synthetic Data Generation
Graduate Program:
Computer Science and Engineering (MS)
Keywords:
Facial expression recognition
student-teacher network
semisupervised learning
multi-level attention
Facial expression recognition student-teacher network
semisupervised learning multi-level attention
facial expression recognition
unsupervised learning
student teacher network
machine learning
deep learning
GAN
CNN
File:
Download Thesis.pdf
Committee Members:
Chitaranjan Das, Program Head/Chair
Daniel Kifer, Thesis Advisor/Co-Advisor
C Lee Giles, Committee Member