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Can Vision Transformers Perform Convolution?

Can Vision Transformers Perform Convolution?

2 November 2021
Shanda Li
Xiangning Chen
Di He
Cho-Jui Hsieh
    ViT
ArXivPDFHTML

Papers citing "Can Vision Transformers Perform Convolution?"

14 / 14 papers shown
Title
Approximation Rate of the Transformer Architecture for Sequence Modeling
Approximation Rate of the Transformer Architecture for Sequence Modeling
Hao Jiang
Qianxiao Li
48
9
0
03 Jan 2025
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Suayb S. Arslan
23
2
0
24 Sep 2024
A Hyper-Transformer model for Controllable Pareto Front Learning with
  Split Feasibility Constraints
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
Tran Anh Tuan
Nguyen Viet Dung
Tran Ngoc Thang
31
3
0
04 Feb 2024
DiffiT: Diffusion Vision Transformers for Image Generation
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh
Jiaming Song
Guilin Liu
Jan Kautz
Arash Vahdat
24
66
0
04 Dec 2023
Understanding the Role of the Projector in Knowledge Distillation
Understanding the Role of the Projector in Knowledge Distillation
Roy Miles
K. Mikolajczyk
19
21
0
20 Mar 2023
A Brief Survey on the Approximation Theory for Sequence Modelling
A Brief Survey on the Approximation Theory for Sequence Modelling
Hao Jiang
Qianxiao Li
Zhong Li
Shida Wang
AI4TS
28
12
0
27 Feb 2023
Learning a Fourier Transform for Linear Relative Positional Encodings in
  Transformers
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
K. Choromanski
Shanda Li
Valerii Likhosherstov
Kumar Avinava Dubey
Shengjie Luo
Di He
Yiming Yang
Tamás Sarlós
Thomas Weingarten
Adrian Weller
25
8
0
03 Feb 2023
Towards Flexible Inductive Bias via Progressive Reparameterization
  Scheduling
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling
Yunsung Lee
Gyuseong Lee
Kwang-seok Ryoo
Hyojun Go
Jihye Park
Seung Wook Kim
24
5
0
04 Oct 2022
Comparison Analysis of Traditional Machine Learning and Deep Learning
  Techniques for Data and Image Classification
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification
Efstathios Karypidis
Stylianos G. Mouslech
Kassiani Skoulariki
Alexandros Gazis
20
14
0
11 Apr 2022
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric
  Guidance
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance
Tianchen Zhao
Niansong Zhang
Xuefei Ning
He-Nan Wang
Li Yi
Yu Wang
3DPC
ViT
22
8
0
18 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer
Self-Promoted Supervision for Few-Shot Transformer
Bowen Dong
Pan Zhou
Shuicheng Yan
W. Zuo
ViT
22
28
0
14 Mar 2022
ELSA: Enhanced Local Self-Attention for Vision Transformer
ELSA: Enhanced Local Self-Attention for Vision Transformer
Jingkai Zhou
Pichao Wang
Fan Wang
Qiong Liu
Hao Li
Rong Jin
ViT
34
37
0
23 Dec 2021
StyleSwin: Transformer-based GAN for High-resolution Image Generation
StyleSwin: Transformer-based GAN for High-resolution Image Generation
Bo Zhang
Shuyang Gu
Bo Zhang
Jianmin Bao
Dong Chen
Fang Wen
Yong Wang
B. Guo
ViT
33
221
0
20 Dec 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
268
2,013
0
28 Jul 2020
1