This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues.
This book provides numerous ways that deep learners can use for logo recognition, including:
The merit of our logo recognition technique is demonstrated using experiments, performance evaluation, and feature distribution analysis utilizing different deep learning frameworks.
The book is directed to professors, researchers, practitioners in the field of engineering, computer science, and related fields as well as anyone interested in using deep learning techniques and applications in logo and various object detection tasks.
| ISBN: | 9783031598135 |
| Publication date: | 1st June 2025 |
| Author: | YenWei Chen, Xiang Ruan, Rahul Kumar Jain |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 119 pages |
| Series: | Intelligent Systems Reference Library |
| Genres: |
Databases Artificial intelligence |
This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues.
This book provides numerous ways that deep learners can use for logo recognition, including:
The merit of our logo recognition technique is demonstrated using experiments, performance evaluation, and feature distribution analysis utilizing different deep learning frameworks.
The book is directed to professors, researchers, practitioners in the field of engineering, computer science, and related fields as well as anyone interested in using deep learning techniques and applications in logo and various object detection tasks.
Recent Advances in Logo Detection Using Machine Learning Paradigms features in the following genres: Databases, Artificial intelligence
Recent Advances in Logo Detection Using Machine Learning Paradigms is available in Paperback, Hardback
Recent Advances in Logo Detection Using Machine Learning Paradigms was written by YenWei Chen, Xiang Ruan, Rahul Kumar Jain and published by Springer an imprint of Springer International Publishing
Recent Advances in Logo Detection Using Machine Learning Paradigms has 119 pages
Yes it is part of Intelligent Systems Reference Library series
£125.99