Hierarchical Graph Convolutional Networks for Image Classification

被引:0
|
作者
Batisteli, João Pedro Oliveira [1 ]
Guimarães, Silvio Jamil Ferzoli [1 ]
do Patrocínio Júnior, Zenilton Kleber Gonçalves [1 ]
机构
[1] Image and Multimedia Data Science Laboratory (IMSCIENCE), Pontifícia Universidade Católica de Minas Gerais (PUC Minas) Belo Horizonte, Minas Gerais, Brazil
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
12th Brazilian Conference on Intelligent Systems, BRACIS 2023
中图分类号
学科分类号
摘要
Classification (of information) - Convolution - Deep learning - Graph neural networks - Graphic methods - Image representation - Semantic Segmentation - Semantics
引用
收藏
页码:63 / 76
相关论文
共 50 条
  • [41] Hyperspectral Image Classification with Localized Graph Convolutional Filtering
    Pu, Shengliang
    Wu, Yuanfeng
    Sun, Xu
    Sun, Xiaotong
    REMOTE SENSING, 2021, 13 (03) : 1 - 22
  • [42] Fuzzy graph convolutional network for hyperspectral image classification
    Xu, Jindong
    Li, Kang
    Li, Ziyi
    Chong, Qianpeng
    Xing, Haihua
    Xing, Qianguo
    Ni, Mengying
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 127
  • [43] Graph convolutional networks with hierarchical multi-head attention for aspect-level sentiment classification
    Li, Xiaowen
    Lu, Ran
    Liu, Peiyu
    Zhu, Zhenfang
    JOURNAL OF SUPERCOMPUTING, 2022, 78 (13): : 14846 - 14865
  • [44] Graph convolutional networks with hierarchical multi-head attention for aspect-level sentiment classification
    Xiaowen Li
    Ran Lu
    Peiyu Liu
    Zhenfang Zhu
    The Journal of Supercomputing, 2022, 78 : 14846 - 14865
  • [45] Polynomial-based graph convolutional neural networks for graph classification
    Luca Pasa
    Nicolò Navarin
    Alessandro Sperduti
    Machine Learning, 2022, 111 : 1205 - 1237
  • [46] Graph convolutional networks with multi-level coarsening for graph classification
    Xie, Yu
    Yao, Chuanyu
    Gong, Maoguo
    Chen, Cheng
    Qin, A. K.
    KNOWLEDGE-BASED SYSTEMS, 2020, 194
  • [47] Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification
    Bai, Lu
    Jiao, Yuhang
    Cui, Lixin
    Hancock, Edwin R.
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I, 2020, 11906 : 464 - 482
  • [48] Polynomial-based graph convolutional neural networks for graph classification
    Pasa, Luca
    Navarin, Nicolo
    Sperduti, Alessandro
    MACHINE LEARNING, 2022, 111 (04) : 1205 - 1237
  • [49] Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks for Remote Sensing Image Classification
    Pastorino, Martina
    Moser, Gabriele
    Serpico, Sebastiano B.
    Zerubia, Josiane
    29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021), 2021, : 1740 - 1744
  • [50] Multimission, Multifrequency, and Multiresolution SAR Image Classification Through Hierarchical Markov Models and Convolutional Networks
    Pastorino, Martina
    Moser, Gabriele
    Serpico, Sebastiano B.
    Zerubia, Josiane
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21