Deep Learning in Object Detection and Recognition

Deep Learning in Object Detection and Recognition

1st Edition 2019

Paperback (27 Nov 2020)

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Publisher's Synopsis

This book 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.

Book information

ISBN: 9789811506512
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
Edition: 1st Edition 2019
Language: English
Number of pages: 224
Weight: 457g
Height: 235mm
Width: 155mm