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Domain Adaptation in Computer Vision with Deep Learning

Language EnglishEnglish
Book Paperback
Book Domain Adaptation in Computer Vision with Deep Learning Hemanth Venkateswara
Libristo code: 37021196
Publishers Springer Nature Switzerland AG, August 2021
This book provides a survey of deep learning approaches to domain adaptation in computer vision. It... Full description
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60 784 Ft
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This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in recent years. It outlines the importance of domain adaptation for the advancement of computer vision, consolidates the research in the area and provides the reader with promising directions for future research in domain adaptation. Divided into four parts, the first part of this book begins with an introduction to domain adaptation, which outlines the problem statement, the role of domain adaptation and the motivation for research in this area. It includes a chapter outlining pre-deep learning era domain adaptation techniques. The second part of this book highlights feature alignment based approaches to domain adaptation. The third part of this book outlines image alignment procedures for domain adaptation. The final section of this book presents novel directions for research in domain adaptation. This book targets researchers working in artificial intelligence, machine learning, deep learning and computer vision. Industry professionals and entrepreneurs seeking to adopt deep learning into their applications will also be interested in this book.

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About the book

Full name Domain Adaptation in Computer Vision with Deep Learning
Language English
Binding Book - Paperback
Date of issue 2021
Number of pages 268
EAN 9783030455316
ISBN 3030455319
Libristo code 37021196
Weight 411
Dimensions 155 x 235 x 15
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