The Synthetic Image
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Exploring Synthetic Image Generation For Training Computer Vision Models Under Data Scarcity
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Author : Enric Moreu
language : en
Publisher:
Release Date : 2024
Exploring Synthetic Image Generation For Training Computer Vision Models Under Data Scarcity written by Enric Moreu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
This thesis presents research conducted in the area of synthetic data generation for computer vision tasks. The research aims to address the challenge of datahungry deep learning models by generating synthetic images that can effectively train computer vision models to solve tasks such as object counting, polyp segmentation, and pattern classification. The work carried out explores the use of various techniques to ensure effective use of synthetic data, including domain randomisation and domain adaptation in both self- and semi-supervised setups. Through the application of these techniques, the research aims to develop a robust and effective approach for generating synthetic data that can improve the performance of computer vision models with a reduced amount of human annotations.
Synthetic Data For Deep Learning
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Author : Sergey I. Nikolenko
language : en
Publisher: Springer Nature
Release Date : 2021-06-26
Synthetic Data For Deep Learning written by Sergey I. Nikolenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-26 with Computers categories.
This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come. The book can also serve as an introduction to several other important subfields of machine learning that are seldom touched upon in other books. Machine learning as a discipline would not be possible without the inner workings of optimization at hand. The book includes the necessary sinews of optimization though the crux of the discussion centers on the increasingly popular tool for training deep learning models, namely synthetic data. It is expected that the field of synthetic data will undergo exponential growth in the near future. This book serves as a comprehensive survey of the field. In the simplest case, synthetic data refers to computer-generated graphics used to train computer vision models. There are many more facets of synthetic data to consider. In the section on basic computer vision, the book discusses fundamental computer vision problems, both low-level (e.g., optical flow estimation) and high-level (e.g., object detection and semantic segmentation), synthetic environments and datasets for outdoor and urban scenes (autonomous driving), indoor scenes (indoor navigation), aerial navigation, and simulation environments for robotics. Additionally, it touches upon applications of synthetic data outside computer vision (in neural programming, bioinformatics, NLP, and more). It also surveys the work on improving synthetic data development and alternative ways to produce it such as GANs. The book introduces and reviews several different approaches to synthetic data in various domains of machine learning, most notably the following fields: domain adaptation for making synthetic data more realistic and/or adapting the models to be trained on synthetic data and differential privacy for generating synthetic data with privacy guarantees. This discussion is accompanied by an introduction into generative adversarial networks (GAN) and an introduction to differential privacy.
Synthetic Data
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Author : Jimmy Nassif
language : en
Publisher: Springer Nature
Release Date : 2024-01-03
Synthetic Data written by Jimmy Nassif and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-03 with Computers categories.
The book concentrates on the impact of digitalization and digital transformation technologies on the Industry 4.0 and smart factories, how the factory of tomorrow can be designed, built, and run virtually as a digital twin likeness of its real-world counterpart, before the physical structure is actually erected. It highlights the main digitalization technologies that have stimulated the Industry 4.0, how these technologies work and integrate with each other, and how they are shaping the industry of the future. It examines how multimedia data and digital images in particular are being leveraged to create fully virtualized worlds in the form of digital twin factories and fully virtualized industrial assets. It uses BMW Group’s latest SORDI dataset (Synthetic Object Recognition Dataset for Industry), i.e., the largest industrial images dataset to-date and its applications at BMW Group and Idealworks, as one of the main explanatory scenarios throughout the book. It discusses the need of synthetic data to train advanced deep learning computer vision models, and how such datasets will help create the “robot gym” of the future: training robots on synthetic images to prepare them to function in the real world.
The Realistic Presentation Of Synthetic Images
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Author : Steven Dale Upstill
language : en
Publisher:
Release Date : 1985
The Realistic Presentation Of Synthetic Images written by Steven Dale Upstill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computer graphics categories.
Annals Of Scientific Society For Assembly Handling And Industrial Robotics
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Author : Thorsten Schüppstuhl
language : en
Publisher: Springer Nature
Release Date : 2020-08-21
Annals Of Scientific Society For Assembly Handling And Industrial Robotics written by Thorsten Schüppstuhl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-21 with Technology & Engineering categories.
This Open Access proceedings present a good overview of the current research landscape of industrial robots. The objective of MHI Colloquium is a successful networking at academic and management level. Thereby the colloquium is focussing on a high level academic exchange to distribute the obtained research results, determine synergetic effects and trends, connect the actors personally and in conclusion strengthen the research field as well as the MHI community. Additionally there is the possibility to become acquainted with the organizing institute. Primary audience are members of the scientific association for assembly, handling and industrial robots (WG MHI).
The Realistic Presentation Of Synthetic Images
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Author : Steven Dale Upstill
language : en
Publisher:
Release Date : 1985
The Realistic Presentation Of Synthetic Images written by Steven Dale Upstill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computer graphics categories.
Handbook Of Digital Face Manipulation And Detection
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Author : Christian Rathgeb
language : en
Publisher: Springer Nature
Release Date : 2022-01-31
Handbook Of Digital Face Manipulation And Detection written by Christian Rathgeb and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Computers categories.
This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.
Computer Vision Eccv 2018 Workshops
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Author : Laura Leal-Taixé
language : en
Publisher: Springer
Release Date : 2019-01-22
Computer Vision Eccv 2018 Workshops written by Laura Leal-Taixé and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-22 with Computers categories.
The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.
Using Synthetic Images To Register Real Images With Surface Models
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Author : Berthold K. P. Horn
language : en
Publisher:
Release Date : 1977
Using Synthetic Images To Register Real Images With Surface Models written by Berthold K. P. Horn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.
A number of image analysis tasks can benefit from registration of the image with a model of the surface being imaged. Automatic navigation using visible light or radar images requires exact alignment of such images with digital terrain models. In addition, automatic classification of terrain, using satellite imagery, requires such alignment to deal correctly with the effects of varying sun angle and surface slope. Even inspection techniques for certain industrial parts may be improved by this means. The required alignment is achieved by matching the real image with the synthetic image obtained from a surface model and known positions of the light sources. The synthetic image intensity is calculated using the reflectance map, a convenient way of describing surface reflection as a function of surface gradient. The technique is illustrated using LANDSAT images and digital terrain models.
Image Understanding
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Author :
language : en
Publisher:
Release Date :
Image Understanding written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Image processing categories.