Reviving Shift Equivariance in Vision Transformers

Reviving Shift Equivariance in Vision Transformers

13 June 2023

Thomas Armstrong

Furong Huang

Papers citing "Reviving Shift Equivariance in Vision Transformers"

6 / 6 papers shown

Title
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 60 0 0 12 Mar 2025
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control Dongyoon Hwang ByungKun Lee Hojoon Lee Hyunseung Kim Jaegul Choo 53 0 0 10 Jun 2024
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling Sourajit Saha Tejas Gokhale 46 1 0 11 Apr 2024
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models Zijun Long George Killick R. McCreadie Gerardo Aragon Camarasa VLM 30 11 0 16 Oct 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 36 7 0 25 May 2023
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 289 3,623 0 24 Feb 2021