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Image Classification with Hierarchical Multigraph Networks

Image Classification with Hierarchical Multigraph Networks

British Machine Vision Conference (BMVC), 2019
21 July 2019
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
    GNNBDL
ArXiv (abs)PDFHTML

Papers citing "Image Classification with Hierarchical Multigraph Networks"

13 / 13 papers shown
Title
Spatio-Temporal driven Attention Graph Neural Network with Block
  Adjacency matrix (STAG-NN-BA)
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA)
U. Nazir
W. Islam
M. Taj
223
3
0
25 Mar 2023
Multimodal learning with graphs
Multimodal learning with graphsNature Machine Intelligence (Nat. Mach. Intell.), 2022
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
554
137
0
07 Sep 2022
Image Classification using Graph Neural Network and Multiscale Wavelet
  Superpixels
Image Classification using Graph Neural Network and Multiscale Wavelet SuperpixelsPattern Recognition Letters (PR), 2022
V. Vasudevan
M. Bassenne
Md Tauhidul Islam
Lei Xing
135
41
0
29 Jan 2022
Learning Hierarchical Graph Representation for Image Manipulation
  Detection
Learning Hierarchical Graph Representation for Image Manipulation Detection
Wenyan Pan
Zhili Zhou
Miaogen Ling
Xin Geng
Q. M. Jonathan Wu
136
4
0
15 Jan 2022
Survey of Image Based Graph Neural Networks
Survey of Image Based Graph Neural Networks
U. Nazir
He Wang
M. Taj
GNN
131
9
0
11 Jun 2021
Implicit Integration of Superpixel Segmentation into Fully Convolutional
  Networks
Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks
Teppei Suzuki
SupRSSeg
123
3
0
05 Mar 2021
An Experimental Study of the Transferability of Spectral Graph Networks
An Experimental Study of the Transferability of Spectral Graph Networks
Axel Nilsson
Xavier Bresson
144
4
0
18 Dec 2020
Interpretable Graph Capsule Networks for Object Recognition
Interpretable Graph Capsule Networks for Object RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2020
Jindong Gu
Volker Tresp
FAtt
224
41
0
03 Dec 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNNSSeg
181
13
0
03 Sep 2020
Interferometric Graph Transform: a Deep Unsupervised Graph
  Representation
Interferometric Graph Transform: a Deep Unsupervised Graph RepresentationInternational Conference on Machine Learning (ICML), 2020
Edouard Oyallon
204
6
0
10 Jun 2020
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive
  Class Weighting Loss for Semantic Segmentation
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
SSL
147
39
0
21 Apr 2020
Self-Constructing Graph Convolutional Networks for Semantic Labeling
Self-Constructing Graph Convolutional Networks for Semantic LabelingIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNNSSL
173
23
0
15 Mar 2020
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural NetworksJournal of machine learning research (JMLR), 2019
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
434
137
0
30 Jul 2019
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