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Making Vision Transformers Truly Shift-Equivariant
25 May 2023
Renan A. Rojas-Gomez
Teck-Yian Lim
Minh N. Do
Raymond A. Yeh
ViT
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Papers citing
"Making Vision Transformers Truly Shift-Equivariant"
8 / 8 papers shown
Title
Group Downsampling with Equivariant Anti-aliasing
Md Ashiqur Rahman
Raymond A. Yeh
67
1
0
24 Apr 2025
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation
Tobias Christian Nauen
Brian B. Moser
Federico Raue
Stanislav Frolov
Andreas Dengel
ViT
55
0
0
12 Mar 2025
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
Sourajit Saha
Tejas Gokhale
35
1
0
11 Apr 2024
Truly Scale-Equivariant Deep Nets with Fourier Layers
Md Ashiqur Rahman
Raymond A. Yeh
47
8
0
06 Nov 2023
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
227
2,430
0
04 Jan 2021
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
102
127
0
11 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
253
3,239
0
24 Nov 2016
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