Neural Network Classifiers for Object Detection in Optical and Infrared Images
Description:
This thesis presents a series of neural network classifiers for object detection in both optical and infrared images. The focus of this work is on efficient and accurate solutions. The thesis discusses the evolution of the highly efficient and tiny network Binary Classification Vision Transformer (BC-ViT) and how through thoughtful modifications and improvements, the BC-ViT can be utilized for tasks of increasing complexity. Chapter 2 discusses the creation of BC-ViT and its initial use case fo…
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Date:
December 2023
Creator:
Adams, Ethan Richard
Partner:
UNT Libraries