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Recent Advances in Logo Detection Using Machine Learning Paradigms

Recent Advances in Logo Detection Using Machine Learning Paradigms Computer Science

Recent Advances in Logo Detection Using Machine Learning Paradigms

0 - Default Title
Description
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:
Deep learning-based end-to-end trainable architecture for logo detection
Weakly supervised logo recognition approach using attention mechanisms
Anchor-free logo detection framework combining attention mechanisms to precisely locate logos in the real-world images
Unsupervised logo detection that takes into account domain-shift issues from synthetic to real-world images
Approach for logo detection modeling domain adaption task in the context of weakly supervised learning to overcome the lack of object-level annotation problem.
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.


Product details
Binding:
Paperback
Number of Pages:
132
Release Date:
2025-06-01
Publication Date:
2025-06-01
Publisher:
Springer
Languages:
Original: English
ISBN10:
303159813X
ISBN13:
9783031598135
GPSR Manufacturer Reference:
Weight:
213 g
Height:
155 cm
Width:
235 cm
Thickness:
8 cm
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