Advancement of Deep Learning and its Applications in Object Detection and Recognition
- 286 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Advancement of Deep Learning and its Applications in Object Detection and Recognition
About this book
Object detection is a basic visual identification problem in computer vision that has been explored extensively over the years. Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies based on deep learning have been intensively investigated in recent years as a result of the remarkable success of deep learning-based image categorization.
In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance.
The book describes every newly proposed novel solution but skips through the fundamentals so that readers can see the field's cutting edge more rapidly. Moreover, unlike prior object detection publications, this project analyses deep learning-based object identification methods systematically and exhaustively, and also gives the most recent detection solutions and a collection of noteworthy research trends.
The book focuses primarily on step-by-step discussion, an extensive literature review, detailed analysis and discussion, and rigorous experimentation results. Furthermore, a practical approach is displayed and encouraged.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover Page
- Half Title page
- Series page
- Title Page
- Copyright Page
- Contents
- Preface
- List of Figures
- List of Tables
- List of Contributors
- List of Abbreviations
- 1 Recent Advances in Video Captioning with Object Detection
- 2 A Deep Learning-based Framework for COVID-19 Identification using Chest X-Ray Images
- 3 Faster Region-based Convolutional Neural Networks for the Detection of Surface Defects in Aluminium Tubes
- 4 Real Time Face Detection-based Automobile Safety System using Computer Vision and Supervised Machine Learning
- 5 Texture Feature Descriptors for Analyzing Facial Patterns in Facial Expression Recognition System
- 6 A Texture Features-based Method to Detect the Face Spoofing
- 7 Enhanced Tal Hassner and Gil Levi Approach for Prediction of Age and Gender with Mask and Mask less
- 8 A Brief Overview of Recent Techniques in Crowd Counting and Density Estimation
- 9 Recent Trends in 2D Object Detection and Applications in Video Event Recognition
- 10 Survey on Vehicle Detection, Identification and Count using CNN-based YOLO Architecture and Related Applications
- 11 An Extensive Study on Object Detection and Recognition using Deep Learning Techniques
- 12 A Comprehensive Review on State-of-the-Art Techniques of Image Inpainting
- 13 Hybrid Leaf Generative Adversarial Networks Scheme for Classification of Tomato Leaves—Early Blight Disease Healthy
- Index
- About the Editors