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Название: Domain Adaptation in Computer Vision with Deep Learning
Автор: Editors: Venkateswara, Hemanth, Panchanathan, Sethuraman
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 258
Размер: 39.1 Mb
Язык: English
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.
Автор: Editors: Venkateswara, Hemanth, Panchanathan, Sethuraman
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 258
Размер: 39.1 Mb
Язык: English
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.