Domain Adaptation Computer Vision (65 results)
Domain Adaptation for Visual Recognition (Foundations and Trends (R) in Computer Graphics and Vision): 25 (Foundations and Trends® in Computer Graphics and Vision) [Paperback] Gopalan, Raghuraman; Li, Ruonan and Patel, Vishal M.
Gopalan, Raghuraman; Li, Ruonan; Patel, Vishal M.; Chellappa, Rama
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Seller: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, United KingdomHay-on-Wye Booksellers
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Condition: Very Good. Minor wear at edges/corners. Faint storage scratches to cover. Minor storage marks at extremities of text blocks. Text as new and unread.
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Language: English
Published by Springer, 2019
Series: Lecture Notes in Computer Science, Book 157 of 300. Book 157 of 300 - Lecture Notes in Computer Science
- Softcover
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Visual Domain Adaptation in the Deep Learning Era (Synthesis Lectures on Computer Vision)
Csurka, Gabriela; Hospedales, Timothy M.; Salzmann, Mathieu; Tommasi, Tatiana
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Condition: New. In English.
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Series: Lecture Notes in Computer Science, Book 157 of 300. Book 157 of 300 - Lecture Notes in Computer Science
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Visual Domain Adaptation in the Deep Learning Era (Synthesis Lectures on Computer Vision)
Gabriela Csurka, Timothy M. Hospedales, Mathieu Salzmann, Tatiana Tommasi
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Visual Domain Adaptation in the Deep Learning Era (Synthesis Lectures on Computer Vision)
Csurka, Gabriela; Hospedales, Timothy M.; Salzmann, Mathieu; Tommasi, Tatiana
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: New. pp. XIII, 212 86 illus., 67 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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- Softcover
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2017
Series: Advances in Computer Vision and Pattern Recognition, Book 65 of 86. Book 65 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: The Book Corner, Beaverton, OR, U.S.A.The Book Corner
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hardcover. Condition: New. Hardback. No dust jacket. Cover edges and corners in good shape. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 268 | Sprache: Englisch | Produktart: Bücher | 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 discuss…es 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.
- Hardcover
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- Softcover
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- Hardcover
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- Hardcover
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Domain Adaptation for Visual Recognition (Foundations and Trends(r) in Computer Graphics and Vision)
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Hardcover
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- Hardcover
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Language: English
Published by Springer, 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 65 of 86. Book 65 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Taschenbuch. Condition: Neu. Domain Adaptation in Computer Vision Applications | Gabriela Csurka | Taschenbuch | Advances in Computer Vision and Pattern Recognition | x | Englisch | 2018 | Springer | EAN 9783319863832 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hart…mann[at]springer[dot]com | Anbieter: preigu.
- Softcover
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Taschenbuch. Condition: Neu. Domain Adaptation in Computer Vision with Deep Learning | Hemanth Venkateswara (u. a.) | Taschenbuch | xi | Englisch | 2021 | Springer | EAN 9783030455316 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbiete…r: preigu.
- Softcover
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2017
Series: Advances in Computer Vision and Pattern Recognition, Book 65 of 86. Book 65 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Condition: New. pp. 317.
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 approac…hes 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.
- Hardcover
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Hardcover. Condition: gut. 2020. Domain Adaptation in Computer Vision with Deep Learning In deutscher Sprache. pages.
Language: English
Published by Springer, 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 65 of 86. Book 65 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together solutions and perspectives proposed by an intern…ational selection of pre-eminent experts in the field, addressing not only classical image categorization, but also other computer vision tasks such as detection, segmentation and visual attributes.Topics and features: surveys the complete field of visual DA, including shallow methods designed for homogeneous and heterogeneous data as well as deep architectures; presents a positioning of the dataset bias in the CNN-based feature arena; proposes detailed analyses of popular shallow methods that addresses landmark data selection, kernel embedding, feature alignment, joint feature transformation and classifier adaptation, or the case of limited access to the source data; discusses more recent deep DA methods, including discrepancy-based adaptation networks and adversarial discriminative DA models; addresses domain adaptation problems beyond image categorization, such as a Fisher encoding adaptation for vehicle re-identification, semantic segmentation and detection trained on synthetic images, and domain generalization for semantic part detection; describes a multi-source domain generalization technique for visual attributes and a unifying framework for multi-domain and multi-task learning.This authoritative volume will be of great interest to a broad audience ranging from researchers and practitioners, to students involved in computer vision, pattern recognition and machine learning.
Language: English
Published by Springer, 2017
Series: Advances in Computer Vision and Pattern Recognition, Book 65 of 86. Book 65 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together solutions and perspectives proposed by an international… selection of pre-eminent experts in the field, addressing not only classical image categorization, but also other computer vision tasks such as detection, segmentation and visual attributes.Topics and features: surveys the complete field of visual DA, including shallow methods designed for homogeneous and heterogeneous data as well as deep architectures; presents a positioning of the dataset bias in the CNN-based feature arena; proposes detailed analyses of popular shallow methods that addresses landmark data selection, kernel embedding, feature alignment, joint feature transformation and classifier adaptation, or the case of limited access to the source data; discusses more recent deep DA methods, including discrepancy-based adaptation networks and adversarial discriminative DA models; addresses domain adaptation problems beyond image categorization, such as a Fisher encoding adaptation for vehicle re-identification, semantic segmentation and detection trained on synthetic images, and domain generalization for semantic part detection; describes a multi-source domain generalization technique for visual attributes and a unifying framework for multi-domain and multi-task learning.This authoritative volume will be of great interest to a broad audience ranging from researchers and practitioners, to students involved in computer vision, pattern recognition and machine learning.
