Related Books
Language: en
Pages: 258
Pages: 258
Type: BOOK - Published: 2020-08-18 - Publisher: Springer Nature
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 researc
Language: en
Pages: 212
Pages: 212
Type: BOOK - Published: 2020-09-26 - Publisher: Springer
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI W
Language: en
Pages: 584
Pages: 584
Type: BOOK - Published: 2021-11-09 - Publisher: Academic Press
Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emer
Language: en
Pages: 348
Pages: 348
Type: BOOK - Published: 2021-06-26 - Publisher: Springer Nature
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 year
Language: en
Pages: 830
Pages: 830
Type: BOOK - Published: 2020-11-12 - Publisher: Springer Nature
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 20