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Image Co-segmentation: 1082 (Studies in Computational Intelligence, 1082)

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Book Details
Language
English
Publishers
Springer; 1st ed. 2023 edition (3 Feb. 2024)
Weight
0.34 KG
Publication Date
17/02/2024
ISBN-10
9811985723
Pages
235 pages
ISBN-13
9789811985720
Dimensions
15.5 x 1.37 x 23.5 cm
SKU
9789811985720
Author Name
Avik Hati (Author)
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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.

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