Can I read Domain Adaptation in Computer Vision with Deep Learning on EtoBox?

Domain Adaptation in Computer Vision with Deep Learning by Hemanth Venkateswara, Sethuraman Panchanathan is a nonfiction available to read on EtoBox.

What is Domain Adaptation in Computer Vision with Deep Learning about?

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 learn

Who reads Domain Adaptation in Computer Vision with Deep Learning?

Author

Hemanth Venkateswara, Sethuraman Panchanathan

Publisher

Springer International Publishing : Imprint: Springer

Published

2020

Language

EN

ISBN

9783030455286

Category

nonfiction

Subjects

Engineering, Mathematics, Business