Cover Image

Synthetic data for visual machine learning : A data-centric approach.

Bibliographic Details
Main Author: Tsirikoglou, Apostolia.
Format: eBook
Language:English
Published: Linköping : Linköping University Electronic Press, 2022.
Edition:1st ed.
Subjects:
Electronic books.
Online Access:Click to View
Table of Contents:
  • Intro
  • Abstract
  • Populärvetenskaplig Sammanfattning
  • Acknowledgments
  • List of Publications
  • Contributions
  • Contents
  • 1 Introduction
  • 1.1 Visual data
  • 1.2 Image synthesis
  • 1.2.1 Computer graphics
  • 1.2.2 Generative image modeling
  • 1.3 Deep learning
  • 1.3.1 Training data
  • 1.4 Objectives
  • 1.5 Outline
  • 2 Background
  • 2.1 Deep learning
  • 2.1.1 Neural networks
  • 2.1.2 Basic concepts
  • 2.1.3 Applications
  • 2.2 Computer vision
  • 2.3 Digital pathology
  • 3 Computer graphics
  • 3.1 Modeling
  • 3.1.1 Basics
  • 3.1.2 Common practices
  • 3.1.3 Procedural modeling
  • 3.2 Rendering
  • 3.2.1 Light transport theory
  • 3.2.2 Light transport simulation
  • 4 Generative modeling
  • 4.1 Fundamentals
  • 4.2 Deep generative models
  • 4.3 Generative adversarial networks
  • 4.3.1 Challenges
  • 4.3.2 Common variants
  • 5 Synthetic data for deep learning
  • 5.1 Data-centric AI
  • 5.1.1 Common practices
  • 5.2 Data collection
  • 5.2.1 Discussion
  • 5.3 Data generation
  • 5.3.1 Computer graphics
  • 5.3.2 Generative adversarial networks
  • 5.3.3 Contributions
  • 5.3.4 Discussion
  • 5.4 Data augmentation
  • 5.4.1 Image manipulations
  • 5.4.2 Deep learning approaches
  • 5.4.3 Contributions
  • 5.4.4 Discussion
  • 6 Conclusion
  • 6.1 Contributions
  • 6.1.1 Data generation
  • 6.1.2 Data augmentation
  • 6.2 Discussion
  • 7 Outlook
  • Bibliography
  • Papers.

Similar Items