Comparative study of neural network architectures for lightweight image recognition tasks in augmented reality

• Main Author: Anindita, Roy
• Other Authors: Seah Hock Soon
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Augmented reality
• Online Access: https://hdl.handle.net/10356/175218
• Institution: Nanyang Technological University

This study provides a comparative analysis of neural network architectures for image recognition tasks, particularly in the context of lightweight augmented reality applications, such as on mobile devices. The study focuses on four popular neural network architectures: Convolutional Neural Networ...