id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-28379	Batisteli, João Pedro Oliveira; Guimarães, Silvio Jamil Ferzoli; Patrocínio Júnior, Zenilton Kleber Gonçalves do	Hierarchical Graph Convolutional Networks for Image Classification	2023		.htm	text/html	5798	307	48	Full size image To overcome the limitations of existing methods, we propose a novel approach that leverages hierarchical segmentation techniques to generate graph vertices for image classification from graph representation. We can briefly describe the two major contributions of this work to graph-based image analysis: (i) the proposition of a novel graph representation method that leverages hierarchical image segmentation to capture hierarchical representations of the underlying image structure; and (ii) the introduction of a novel graph convolutional network (GCN) architecture that can extract and use the essential information from our new graph representation.	cache/bracis-28379.htm	txt/bracis-28379.txt
