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MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes

MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes

3 July 2023
Giuseppe Vecchio
Luca Prezzavento
C. Pino
Francesco Rundo
S. Palazzo
C. Spampinato
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Papers citing "MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes"

3 / 3 papers shown
Title
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
167
1,157
0
03 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
231
1,801
0
25 Nov 2016
1