Yen-Wei Chen & Xiang Ruan 
Recent Advances in Logo Detection Using Machine Learning Paradigms [PDF ebook] 
Theory and Practice

Ủng hộ

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.

 

 

 

€149.79
phương thức thanh toán

Mục lục

Deep Convolutional Neural networks.- Introduction to Logo Detection.- Weakly Supervised Logo Detection Approach.

Giới thiệu về tác giả


Mua cuốn sách điện tử này và nhận thêm 1 cuốn MIỄN PHÍ!
Ngôn ngữ Anh ● định dạng PDF ● Trang 119 ● ISBN 9783031598111 ● Kích thước tập tin 5.2 MB ● Nhà xuất bản Springer International Publishing ● Thành phố Cham ● Quốc gia CH ● Được phát hành 2024 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 9466510 ● Sao chép bảo vệ DRM xã hội

Thêm sách điện tử từ cùng một tác giả / Biên tập viên

5.269 Ebooks trong thể loại này