Image Co-segmentation
Language: English
Published by Springer Nature Singapore, 2023
- Hardcover
- New
Condition: New
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces novel computer science concepts of maximally occurring common subgraph matchingProvides complete algorithmic details for the ease of implementation and reproducibility by practitioners in this areaPresents extensive illustrative .
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- Title
- Image Co-segmentation
- Author
- Avik Hati|Rajbabu Velmurugan|Sayan Banerjee|Subhasis Chaudhuri
- Publisher
- Springer Nature Singapore
- Publication year
- 2023
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 9811985693
- ISBN 13
- 9789811985690
This book presents and analyzes methods to perform image co-segmentation. In this book, the authors describe efficient solutions to this problem ensuring robustness and accuracy, and provide theoretical analysis for the same. Six different methods for image co-segmentation are presented. These methods use concepts from statistical mode detection, subgraph matching, latent class graph, region growing, graph CNN, conditional encoder–decoder network, meta-learning, conditional variational encoder–decoder, and attention mechanisms. The authors have included several block diagrams and illustrative examples for the ease of readers. This book is a highly useful resource to researchers and academicians not only in the specific area of image co-segmentation but also in related areas of image processing, graph neural networks, statistical learning, and few-shot learning.
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