Domain Adaptation in Computer Vision with Deep Learning
This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in recent years. It outlines the importance of domain adaptation for the advancement of computer vision, consolidates the research in the area and provides the reader with promising directions for future research in domain adaptation.Divided into four parts, the first part of this book begins with an introduction to domain adaptation, which outlines the p…
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Produktdetails
Weitere Autoren: Venkateswara, Hemanth (Hrsg.)
- ISBN: 978-3-030-45529-3
- EAN: 9783030455293
- Produktnummer: 34607413
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Plattform: PDF
- Masse: 7'541 KB
Über den Autor
Hemanth Venkateswara is an Assistant Research Professor at the School of Computing Informatics and Decision Systems Engineering at Arizona State University. He completed his PhD in machine learning and computer vision in 2017 from Arizona State University. Hemanth's research interests include transfer learning, active learning, zero-shot learning, incremental learning and generative models using deep learning. His research explores knowledge transfer paradigms for deep neural networks that are challenging to train due to paucity of annotated data. Hemanth holds a bachelor's degree in Physics and master's degrees in Physics and Computer Science. Prior to his PhD, Hemanth worked as a senior software engineer at Alcatel-Lucent Technologies, India. Hemanth is a member of the IEEE and the ACM.Sethuraman Panch Panchanathan leads the knowledge enterprise at Arizona State University, which advances research, innovation, strategic partnerships, entrepreneurship, global and economic development at ASU. He is the Director of the Center for Cognitive Ubiquitous Computing at ASU. Panchanathan's research interests are in the areas of human-centered multimedia computing, haptic user interfaces, person-centered tools and ubiquitous computing technologies for enhancing the quality of life for individuals with disabilities, machine learning for multimedia applications, medical image processing, and media processor designs. Panchanathan has published more than 500 papers in refereed journals and conferences and has mentored nearly 150 graduate students, post-docs, research engineers and research scientists who occupy leading positions in academia and industry. He was the editor-in-chief of the IEEE Multimedia Magazine and is also an editor/associate editor of several international journals and transactions. Panchanathan was appointed by President Barack Obama to the U.S. National Science Board for a six-year term and was appointed by the U.S. Secretary of Commerce to the National Advisory Council on Innovation and Entrepreneurship. In Dec 2019, Panchanathan was nominated as the Director for the National Science Foundation by President Donald Trump. Panchanathan is a fellow and Vice President for Strategic Initiatives and Membership of the National Academy of Inventors. In 2018, Panchanathan was appointed Arizona Governor Doug Ducey's Senior Advisor for Science & Technology. Panchanathan is a Fellow of the NAI, American Association for the Advancement of Science (AAAS), the Canadian Academy of Engineering (CAE), the Institute of Electrical and Electronics Engineers (IEEE) and the Society of Optical Engineering (SPIE).
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