Deep Learning in Object Detection and Recognition (1st ed. 2019)
By: and and and and
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- 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.
- Copyright:
- 2019
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811051524
- Related ISBNs:
- 9789811051517
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 11/24/19
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Art and Architecture, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Xiaoyue Jiang
- Edited by:
- Abdenour Hadid
- Edited by:
- Yanwei Pang
- Edited by:
- Eric Granger
- Edited by:
- Xiaoyi Feng
Reviews
Other Books
- by Xiaoyue Jiang
- by Abdenour Hadid
- by Yanwei Pang
- by Eric Granger
- by Xiaoyi Feng
- in Nonfiction
- in Art and Architecture
- in Computers and Internet