Graph Neural Network Methods and Applications in Scene UnderstandingAuthor(s): Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou, Weiwei Xing\nFormat: Paperback\nPublisher: Springer Verlag, Singapore, Singapore\nImprint: Springer Verlag, Singapore\nISBN-13: 9789819799350, 978-9819799350\nSynopsis\nThe 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.