About this document

CNN-Based 2D Object Detection Review by nasrabdulmunem is a document available to read on EtoBox.

This document is a comprehensive review of CNN-based 2D object detection techniques, highlighting advancements in deep learning that have enhanced model performance in real-world applications like surveillance and autonomous vehicles. It evaluates various approaches, including 1-stage, 2-stage, and hybrid methods, focusing on their accuracy, processing speed, and computational complexity. The study aims to inform the design and implementation of CNN-based object detection systems while addressing existing c

Author

nasrabdulmunem

Language

EN