Making Vision Transformers Truly Shift-Equivariant

25 May 2023

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