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Advanced methods and deep learning i...
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Davies, E. R.
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Advanced methods and deep learning in computer vision
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advanced methods and deep learning in computer vision/ edited by E.R. Davies, Matthew A. Turk.
other author:
Davies, E. R.
Published:
London, United Kingdom ;Elsevier Academic Press, : 2022.,
Description:
1 online resource (xix, 562 p.) :ill. (black and white, and col.)
Subject:
Computer vision. -
Online resource:
https://www.sciencedirect.com/science/book/9780128221099
ISBN:
9780128221495
Advanced methods and deep learning in computer vision
Advanced methods and deep learning in computer vision
[electronic resource] /edited by E.R. Davies, Matthew A. Turk. - London, United Kingdom ;Elsevier Academic Press,2022. - 1 online resource (xix, 562 p.) :ill. (black and white, and col.) - Computer vision and pattern recognition.
Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.
ISBN: 9780128221495Subjects--Topical Terms:
540671
Computer vision.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: TA1634 / .A38 2022eb
Dewey Class. No.: 006.37
Advanced methods and deep learning in computer vision
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Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.
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https://www.sciencedirect.com/science/book/9780128221099
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1 records • Pages 1 •
1
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Attachments
W9521172
電子資源
11.線上閱覽_V
電子書
EB TA1634 .A38 2022eb
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