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Deep Learning Vision Algorithms by Xiaoli (9 results)
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Deep Learning for 3D Vision: Algorithms and Applications
Language: English
Published by World Scientific Publishing Comp, 2024
ISBN 10: 9811286485 ISBN 13: 9789811286483
hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Deep Learning For 3d Vision: Algorithms And Applications
Language: English
Published by World Scientific Publishing Company, 2024
ISBN 10: 9811286485 ISBN 13: 9789811286483
Condition: As New. Unread book in perfect condition.
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Deep Learning For 3d Vision: Algorithms And Applications
Language: English
Published by World Scientific Publishing Company, 2024
ISBN 10: 9811286485 ISBN 13: 9789811286483
Condition: New.
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Deep Learning for 3D Vision: Algorithms and Applications
Language: English
Published by World Scientific Publishing Company, 2024
ISBN 10: 9811286485 ISBN 13: 9789811286483
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 212.88
US$ 16.29 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Deep Learning For 3d Vision: Algorithms And Applications
Language: English
Published by World Scientific Publishing Company, 2024
ISBN 10: 9811286485 ISBN 13: 9789811286483
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 208.34
US$ 20.39 shipping
Ships from United Kingdom to U.S.A.Quantity: 17 available
Add to basketCondition: As New. Unread book in perfect condition.
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Deep Learning For 3d Vision: Algorithms And Applications
Language: English
Published by World Scientific Publishing Company, 2024
ISBN 10: 9811286485 ISBN 13: 9789811286483
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 212.87
US$ 20.39 shipping
Ships from United Kingdom to U.S.A.Quantity: 17 available
Add to basketCondition: New.
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Deep Learning For 3d Vision: Algorithms And Applications
Language: English
Published by World Scientific Publishing Co Pte Ltd, 2024
ISBN 10: 9811286485 ISBN 13: 9789811286483
US$ 256.49
US$ 16.99 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 480 pages. 6.00x1.06x9.00 inches. In Stock.
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Buch. Condition: Neu. DEEP LEARNING FOR 3D VISION | ALGORITHMS AND APPLICATIONS | Li Xiaoli | Buch | Englisch | 2024 | World Scientific | EAN 9789811286483 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 3D deep learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D deep learning, covering a wide range of research topics and applications. It collates the most recent research advances in 3D deep learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D deep learning research and adoption, therefore making 3D deep learning more practical and feasible for real-world applications.This book is organized into five sections, each of which addresses different aspects of 3D deep learning. Section I: Sample Efficient 3D Deep Learning, focuses on developing efficient algorithms to build accurate 3D models with limited annotated samples. Section II: Representation Efficient 3D Deep Learning, deals with the challenge of developing efficient representations for dynamic 3D scenes and multiple 3D modalities. Section III: Robust 3D Deep Learning, presents methods for improving the robustness and reliability of deep learning models in real-world applications. Section IV: Resource Efficient 3D Deep Learning, explores ways to reduce the computation cost of 3D models and improve their efficiency in resource-limited environments. Section V: Emerging 3D Deep Learning Applications, showcases how 3D deep learning is transforming industries and enabling new applications for healthcare and manufacturing.This collection is a valuable resource for researchers and practitioners interested in exploring the potential of 3D deep learning.
