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Beschreibung
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.
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 03. Februar 2024 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 365 Gramm |
| Format | Softcover |
| ISBN-13 | 9789811985720 |
| Seiten | 221 |
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