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题名/责任者:

Object detection with deep learning models : principles and applications / edited by S. Poonkuntran, Rajesh Kumar Dhanraj, Balamurugan Balusamy.

出版发行项:

Boca Raton : Chapman & Hall/CRC Press, 2023.

ISBN:

9781032074009

ISBN:

9781032349244

载体形态项:

x, 265 pages : illustrations ; 26 cm

附加个人名称:

Poonkuntran, S., editor.

附加个人名称:

Dhanraj, Rajesh Kumar, editor.

附加个人名称:

Balusamy, Balamurugan, editor.

论题主题:

Computer vision.

论题主题:

Pattern recognition systems.

论题主题:

Deep learning (Machine learning)

中图法分类号:

TP391.41

书目附注:

Includes bibliographical references and index.

摘要附注:

"Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks"--

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