Mastering New Age Computer Vision
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Mastering New Age Computer Vision
DESCRIPTION Mastering New Age Computer Vision is a comprehensive guide that explores the latest advancements in computer vision, a field that is enabling machines to not only see but also understand and interpret the visual world in increasingly sophisticated ways, guiding you from foundational concepts to practical applications. This book explores cutting-edge computer vision techniques, starting with zero-shot and few-shot learning, DETR, and DINO for object detection. It covers advanced segmentation models like Segment Anything and Vision Transformers, along with YOLO and CLIP. Using PyTorch, readers will learn image regression, multi-task learning, multi-instance learning, and deep metric learning. Hands-on coding examples, dataset preparation, and optimization techniques help apply these methods in real-world scenarios. Each chapter tackles key challenges, introduces architectural innovations, and improves performance in object detection, segmentation, and vision-language tasks. By the time you have turned the final page of this book, you will be a confident computer vision practitioner, armed with a comprehensive grasp of core principles and the ability to apply cutting-edge techniques to solve real-world problems. You will be prepared to develop innovative solutions across a broad spectrum of computer vision challenges, actively contributing to the ongoing advancements in this dynamic field. KEY FEATURES ● Master PyTorch for image processing, segmentation, and object detection. ● Explore advanced computer vision techniques like ViT and panoptic models. ● Apply multi-tasking, metric, bilinear pooling, and self-supervised learning in real-world scenarios. WHAT YOU WILL LEARN ● Use PyTorch for both basic and advanced image processing. ● Build object detection models using CNNs and modern frameworks. ● Apply multi-task and multi-instance learning to complex datasets. ● Develop segmentation models, including panoptic segmentation. ● Improve feature representation with metric learning and bilinear pooling. ● Explore transformers and self-supervised learning for computer vision. WHO THIS BOOK IS FOR This book is for data scientists, AI practitioners, and researchers with a basic understanding of Python programming and ML concepts. Familiarity with deep learning frameworks like PyTorch and foundational knowledge of computer vision will help readers fully grasp the advanced techniques discussed. TABLE OF CONTENTS 1. Evolution of New Age Computer Vision Models 2. Image Processing with PyTorch 3. Designing of Advanced Computer Vision Techniques 4. Designing Superior Computer Vision Techniques 5. Advanced Object Detection with FPN, RPN, and DetectoRS 6. Multi-instance Learning 7. More Advanced Multi-instance Learning 8. Beyond Classical Segmentation Panoptic Segmentation with SAM 9. Crafting Deep Metric Learning in Embedding Space 10. Navigating the Realm of Metric Learning 11. Multi-tasking with Multi-task Learning 12. Fine-grained Bilinear CNN 13. The Rise of Self-supervised Learning 14. Advancements in Computer Vision Landscape
Breakthrough Leadership in the Digital Age
"By deconstructing learning science and making the connection to technology, Hess and Saxberg have outlined key strategies for school leaders as they work to transform traditional practices in schools. Whether it is whole-school reform or targeted interventions, principals will be motivated to rethink or‘re-engineer’ the use of technology to optimize teaching and learning." —Gail Connelly, Executive Director National Association of Elementary School Principals "Everyone touching education—from educators to school leaders and from investors and philanthropists to entrepreneurs—needs to understand how to think like a learning engineer and read this book. Technology holds unbelievable promise to be a part of the solution to transform education, but it won’t happen unless all parties attack its implementation smartly. Breakthrough Leadership in a Digital Age points the way forward." —Michael B. Horn, Co-Founder & Education Executive Director Clayton Christensen Institute "Too often, our current structures fail to promote and support learning engineering. Rick Hess and Bror Saxberg have designed a compelling guide for the road ahead." —William Hite, Superintendent School District of Philadelphia, PA Reboot student learning the right way! Today’s most successful school leaders are truly "learning engineers": creative thinkers who redefine their problems and design new ways to better serve kids’ success. Technology has a critical role, but it’s the creative reinvention of schools, systems, and classrooms that has to come first. In this powerful book, best-selling author and education policy expert Rick Hess and chief learning officer Bror Saxberg show you how to become your school′s learning engineer. Using cutting-edge research about learning science as a framework, you’ll: Identify specific learning problems that need solving Devise smarter ways to address them Implement technology-enabled, not technology-driven, solutions
Information Transfer: New Age — New Ways
Author: Suzanne Bakker
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
One of the characteristics of the final decade of this century is the treatment of information as a commodity. As the world becomes increasingly dominated by information and its technology, in all its facets, librarians must learn to integrate all the new developments into daily practice. 'It is to the extent to which we shall succeed in developing powerful information networks through efficient information transfer that we shall succeed in contributing to the betterment of health throughout our nations'. It is this challenge which medical librarians from some 34 countries set for themselves in convening the Third European Conference of Medical Libraries in Montpellier, France, in September 1992. All aspects of medical information were addressed - the technical aspects of transfer, ethical and legal issues, costs, benefits, rights and responsibilities, quality assurance, guidance systems, communications technology, education and training both of information professionals and end-users were discussed and debated in depth in Montpellier. This volume presents an accurate account of a conference which has made a significant contribution to the development of medical librarianship in Europe and the wider world.