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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.
Produkteigenschaften
- Artikelnummer: 9789811985720
- Medium: Buch
- ISBN: 978-981-19-8572-0
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 03.02.2024
- Sprache(n): Englisch
- Auflage: 1. Auflage 2023
- Serie: Studies in Computational Intelligence
- Produktform: Kartoniert
- Gewicht: 365 g
- Seiten: 221
- Format (B x H x T): 155 x 235 x 13 mm
- Ausgabetyp: Kein, Unbekannt