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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Technik Allg. & Lexika Graph Neural Network Methods and Applications in Scene Understanding
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Graph Neural Network Methods and Applications in Scene Understanding
Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou, Weiwei Xing (Broschiert, Englisch)
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Beschreibung
The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature extraction. Scene understanding is one of the research focuses in computer vision and image processing, which realizes semantic segmentation and object… recognition of image or video. In this book, the algorithm, system design and performance evaluation of scene understanding based on graph neural networks have been studied. First, the book elaborates the background and basic concepts of graph neural network and scene understanding, then introduces the operation mechanism and key methodological foundations of graph neural network. The book then comprehensively explores the implementation and architectural design of graph neural networks for scene understanding tasks, including scene parsing, human parsing, and video object segmentation. The aim of this book is to provide timely coverage of the latest advances and developments in graph neural networks and their applications to scene understanding, particularly for readers interested in research and technological innovation in machine learning, graph neural networks and computer vision. Features of the book include self-supervised feature fusion based graph convolutional network is designed for scene parsing, structure-property based graph representation learning is developed for human parsing, dynamic graph convolutional network based on multi-label learning is designed for human parsing, and graph construction and graph neural network with transformer are proposed for video object segmentation. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
05.01.2026
Sprache
Englisch
EAN
9789819799350
Herausgeber
Springer Singapore
Sonderedition
Nein
Autor
Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou, Weiwei Xing
Seitenanzahl
219
Einbandart
Broschiert
Schlagwörter
Scene Understanding, Human Parsing, Video Object Segmentation, Graph Convolution, Graph Construction, Graph Pooling, Graph Neural Network, Scene Parsing, Graph Attention
Thema-Inhalt
UYQ - Künstliche Intelligenz
TBJ - Mathematik für Ingenieure
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer Nature Singapore, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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