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Deep Learning in Object Detection and Recognition

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 app...

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Corporate Author: SpringerLink (Online service)
Other Authors: Jiang, Xiaoyue. (Editor, http://id.loc.gov/vocabulary/relators/edt), Hadid, Abdenour. (Editor, http://id.loc.gov/vocabulary/relators/edt), Pang, Yanwei. (Editor, http://id.loc.gov/vocabulary/relators/edt), Granger, Eric. (Editor, http://id.loc.gov/vocabulary/relators/edt), Feng, Xiaoyi. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Optical data processing.
Data mining.
Pattern recognition.
Image Processing and Computer Vision.
Data Mining and Knowledge Discovery.
Pattern Recognition.
Online Access:https://doi.org/10.1007/978-981-10-5152-4
Table of Contents:
  • 1. An Overview of Deep Learning
  • 2. Object Detection In Deep Learning
  • 3. Deep Learning in Face Recognition across Pose and Illumination
  • 4. Face Anti-spoofing via Deep Local Binary Pattern
  • 5. Face Anti-spoofing via Deep Local Binary Pattern
  • 6. Deep Learning Architectures for Face Recognition in Video Surveillance
  • 7. Deep learning for 3D data
  • 8. Deep Learning based Descriptors for Object Instance Search.

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