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Condition: As New. Unread book in perfect condition.
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Visual Object Tracking Using Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Visual Object Tracking Using Deep Learning
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Add to basketPaperback. Condition: Brand New. 216 pages. 9.18x6.12x9.21 inches. In Stock.
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Taschenbuch. Condition: Neu. Visual Object Tracking using Deep Learning | Ashish Kumar | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | CRC Press | EAN 9781032598079 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Visual Object Tracking with Deep Neural Networks
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Visual Object Tracking Using Deep Learning
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Visual Object Tracking Using Deep Learning
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Visual Object Tracking from Correlation Filter to Deep Learning
Language: English
Published by Springer Nature Singapore, 2021
ISBN 10: 981166241X ISBN 13: 9789811662416
Condition: 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.
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Visual Object Tracking using Deep Learning
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032490535 ISBN 13: 9781032490533
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Visual Object Tracking from Correlation Filter to Deep Learning
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Visual Object Tracking using Deep Learning
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Visual Object Tracking from Correlation Filter to Deep Learning (Hardcover)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 981166241X ISBN 13: 9789811662416
Hardcover. Condition: new. Hardcover. 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. The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New.
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Condition: New.
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Visual Object Tracking from Correlation Filter to Deep Learning
Language: English
Published by Springer Nature Singapore, 2022
ISBN 10: 9811662444 ISBN 13: 9789811662447
Condition: 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.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Add to basketHardcover. Condition: Brand New. 272 pages. 9.19x6.13x0.71 inches. In Stock.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
