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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.
Da: Books Puddle, New York, NY, U.S.A.
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Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2026
ISBN 10: 981979935X ISBN 13: 9789819799350
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Paperback. Condizione: new. Paperback. The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature extraction. Scene understanding is one of the research focuses in computer vision and image processing, which realizes semantic segmentation and object recognition of image or video. In this book, the algorithm, system design and performance evaluation of scene understanding based on graph neural networks have been studied. First, the book elaborates the background and basic concepts of graph neural network and scene understanding, then introduces the operation mechanism and key methodological foundations of graph neural network. The book then comprehensively explores the implementation and architectural design of graph neural networks for scene understanding tasks, including scene parsing, human parsing, and video object segmentation. The aim of this book is to provide timely coverage of the latest advances and developments in graph neural networks and their applications to scene understanding, particularly for readers interested in research and technological innovation in machine learning, graph neural networks and computer vision. Features of the book include self-supervised feature fusion based graph convolutional network is designed for scene parsing, structure-property based graph representation learning is developed for human parsing, dynamic graph convolutional network based on multi-label learning is designed for human parsing, and graph construction and graph neural network with transformer are proposed for video object segmentation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2026
ISBN 10: 981979935X ISBN 13: 9789819799350
Da: CitiRetail, Stevenage, Regno Unito
EUR 175,81
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature extraction. Scene understanding is one of the research focuses in computer vision and image processing, which realizes semantic segmentation and object recognition of image or video. In this book, the algorithm, system design and performance evaluation of scene understanding based on graph neural networks have been studied. First, the book elaborates the background and basic concepts of graph neural network and scene understanding, then introduces the operation mechanism and key methodological foundations of graph neural network. The book then comprehensively explores the implementation and architectural design of graph neural networks for scene understanding tasks, including scene parsing, human parsing, and video object segmentation. The aim of this book is to provide timely coverage of the latest advances and developments in graph neural networks and their applications to scene understanding, particularly for readers interested in research and technological innovation in machine learning, graph neural networks and computer vision. Features of the book include self-supervised feature fusion based graph convolutional network is designed for scene parsing, structure-property based graph representation learning is developed for human parsing, dynamic graph convolutional network based on multi-label learning is designed for human parsing, and graph construction and graph neural network with transformer are proposed for video object segmentation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 217,99
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Aggiungi al carrelloPaperback. Condizione: Brand New. 207 pages. 9.25x6.10x0.59 inches. In Stock.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2021
ISBN 10: 981166241X ISBN 13: 9789811662416
Da: Revaluation Books, Exeter, Regno Unito
EUR 220,30
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Aggiungi al carrelloHardcover. Condizione: Brand New. 207 pages. 9.25x6.10x0.60 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 216,66
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 239,12
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 239,16
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 225,34
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: preigu, Osnabrück, Germania
EUR 166,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Graph Neural Network Methods and Applications in Scene Understanding | Weibin Liu (u. a.) | Taschenbuch | xiv | Englisch | 2026 | Springer | EAN 9789819799350 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: preigu, Osnabrück, Germania
EUR 184,85
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Proceedings of the 2012 International Conference on Information Technology and Software Engineering | Information Technology | Wei Lu (u. a.) | Taschenbuch | Lecture Notes in Electrical Engineering | xviii | Englisch | 2016 | Springer | EAN 9783662511848 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Proceedings of the 2012 International Conference on Information Technology and Software Engineering | Software Engineering & Digital Media Technology | Wei Lu (u. a.) | Taschenbuch | Lecture Notes in Electrical Engineering | xviii | Englisch | 2016 | Springer | EAN 9783662511862 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Proceedings of the 2012 International Conference on Information Technology and Software Engineering | Information Technology & Computing Intelligence | Wei Lu (u. a.) | Taschenbuch | Lecture Notes in Electrical Engineering | xix | Englisch | 2016 | Springer | EAN 9783662511855 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 249,70
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 250,81
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