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Learnable Polyphase Sampling for Shift Invariant and Equivariant
  Convolutional Networks

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks

14 October 2022
Renan A. Rojas-Gomez
Teck-Yian Lim
A. Schwing
Minh Do
Raymond A. Yeh
ArXivPDFHTML

Papers citing "Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks"

4 / 4 papers shown
Title
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
89
127
0
11 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
219
13,886
0
02 Dec 2016
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
231
3,202
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
420
15,438
0
02 Nov 2015
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