Deep Learning in Object Detection and Recognition
by Feng, Xiaoyi Granger, Eric Hadid, Abdenour Jiang, Xiaoyue Pang, Yanwei
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 pra…
Read More ↓Title Statements
- Full title :Deep Learning in Object Detection and Recognition / Xiaoyue Jiang, Abdenour Hadid, Yanwei Pang, ...[et al.].
Summary
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.
Read More ↓Edition Statements
- Publication Date:[2019].
Publication Statements
- Publisher(s):Springer
- Place of Publication:Singapore
- Language:eng
- Publication Date:[2019].
The Physical Object
- Description:1 vol. (xvi-224 p.) : : ill. ; : 24 cm.
Edition Identifiers
- ISBN:9789811051517 (rel), 9811051518
- oclc:on1221003938
Subjects
Writers
No reviews yet. Be the first to rate this work.
Rate & Review