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SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation

SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation

3 September 2020
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
    GNN
    SSeg
ArXivPDFHTML

Papers citing "SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation"

4 / 4 papers shown
Title
Medical Image Analysis using Deep Relational Learning
Medical Image Analysis using Deep Relational Learning
Zhi-Hu Liu
MedIm
17
0
0
28 Mar 2023
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
47
94
0
01 Jul 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,234
0
24 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
437
15,631
0
02 Nov 2015
1