Advancement of Deep Learning and its Applications in Object Detection and Recognition

Object detection is a fundamental visual identification problem in computer vision, and deep learning-based methods have achieved remarkable success in recent years. This book provides a comprehensive overview of detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. It systematically analyzes deep learning-based object identification methods and presents the most recent solutions and research trends. The book focuses on step-by-step discussion, literature review, detailed analysis, and rigorous experimentation results, with a practical approach encouraged.

Format: Hardback
Length: 286 pages
Publication date: 10 May 2023
Publisher: River Publishers

Object detection is a fundamental visual identification problem in computer vision that has received extensive research attention over the years. It involves the precise identification and classification of objects within a given image, aiming to achieve high accuracy and apply appropriate class labels to each object instance. In recent years, the field of object recognition has gained significant momentum due to the remarkable success of deep learning-based image categorization.

In this comprehensive book, we delve into the intricate details of detector architectures, feature learning, proposal generation, sampling strategies, and other factors that influence the performance of object detection. We provide a comprehensive overview of the latest novel solutions in the field, while also offering a concise introduction to the fundamental concepts to facilitate a rapid understanding of the cutting-edge developments.

Unlike previous publications on object detection, this book systematically analyzes and exhaustively covers deep learning-based object identification methods. It presents the most recent detection solutions and highlights noteworthy research trends. The book emphasizes a step-by-step discussion, an extensive literature review, detailed analysis, and rigorous experimentation results. Furthermore, a practical approach is showcased and encouraged throughout, making it valuable for both researchers and practitioners in the field.

By exploring the complexities of object detection, this book aims to provide a comprehensive resource for those seeking to advance their knowledge and expertise in this rapidly evolving area. Whether you are a computer vision enthusiast, researcher, or industry professional, this book will serve as a valuable guide to help you navigate the world of object detection and recognition.

Weight: 650g
Dimension: 162 x 241 x 21 (mm)
ISBN-13: 9788770227025