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 problem statement, the role of domain adaptation and the motivation for research in this area. It includes a chapter outlining pre-deep learning era domain adaptation techniques. The second part of this book highlights feature alignment based approaches to domain adaptation. The third part of this book outlines image alignment procedures for domain adaptation. The final section of this book presents novel directions for research in domain adaptation. This book targets researchers working in artificial intelligence, machine learning, deep learning and computer vision. Industry professionals and entrepreneurs seeking to adopt deep learning into their applications will also be interested in this book.
yazar | Springer; 1st ed. 2020 basım |
---|---|
Boyutlar ve boyutlar | 15.6 x 1.6 x 23.39 cm |
Tarafından yayınlandı | 18 Ağustos 2020 |
28 Şubat 2018 18,9 x 0,3 x 24,6 cm ROBERT H BORK WADE H MCCREE 28 Ekim 2011 Kolektif Mdpi AG 18,9 x 0,4 x 24,6 cm 18,9 x 0,2 x 24,6 cm 3 Ocak 2017 18 Ağustos 2020 18,9 x 0,5 x 24,6 cm 15 x 0,5 x 22 cm 30 Ekim 2011 18,9 x 0,6 x 24,6 cm Additional Contributors 1 Ocak 2017 ERWIN N GRISWOLD
okumak okumak kayıt olmadan
Sürüm ayrıntıları
yazar | Springer; 1st ed. 2020 basım |
---|---|
isbn 13 | 978-3030455286 |
Yayımcı | Springer; 1st ed. 2020 basım |
Boyutlar ve boyutlar | 15.6 x 1.6 x 23.39 cm |
Tarafından yayınlandı Domain Adaptation in Computer Vision with Deep Learning | 18 Ağustos 2020 |
En son kitaplar
benzer kitaplar
Rituals and Practices in World Religions: Cross-Cultural Scholarship to Inform Research and Clinical Contexts (Religion, Spirituality and Health: A Social Scientific Approach)
okumak kayıt olmadan
Research and Innovation in Physics Education: Two Sides of the Same Coin (Challenges in Physics Education)
okumak kayıt olmadan
Ethnomathematics in Action: Mathematical Practices in Brazilian Indigenous, Urban and Afro Communities
okumak kayıt olmadan
Trends in Functional Programming: 21st International Symposium, TFP 2020, Krakow, Poland, February 13–14, 2020, Revised Selected Papers (Lecture Notes in Computer Science (12222), Band 12222)
okumak kayıt olmadan
Rituals and Practices in World Religions: Cross-Cultural Scholarship to Inform Research and Clinical Contexts (Religion, Spirituality and Health: A Social Scientific Approach)
okumak kayıt olmadan
Research and Innovation in Physics Education: Two Sides of the Same Coin (Challenges in Physics Education)
okumak kayıt olmadan
Ethnomathematics in Action: Mathematical Practices in Brazilian Indigenous, Urban and Afro Communities
okumak kayıt olmadan
Trends in Functional Programming: 21st International Symposium, TFP 2020, Krakow, Poland, February 13–14, 2020, Revised Selected Papers (Lecture Notes in Computer Science (12222), Band 12222)
okumak kayıt olmadan