ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.08710
  4. Cited By
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges

Hypergraph Vision Transformers: Images are More than Nodes, More than Edges

11 April 2025
Joshua Fixelle
    ViT
ArXiv (abs)PDFHTML

Papers citing "Hypergraph Vision Transformers: Images are More than Nodes, More than Edges"

32 / 32 papers shown
Title
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
Mustafa Munir
William Avery
Md Mostafijur Rahman
R. Marculescu
GNN
92
14
0
10 May 2024
SCHEME: Scalable Channel Mixer for Vision Transformers
SCHEME: Scalable Channel Mixer for Vision Transformers
Deepak Sridhar
Yunsheng Li
Nuno Vasconcelos
138
0
0
01 Dec 2023
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
Dai Shi
ViT
68
90
0
28 Nov 2023
From Sparse to Soft Mixtures of Experts
From Sparse to Soft Mixtures of Experts
J. Puigcerver
C. Riquelme
Basil Mustafa
N. Houlsby
MoE
179
130
0
02 Aug 2023
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Dmitry Demidov
M.H. Sharif
Aliakbar Abdurahimov
Hisham Cholakkal
Fahad Shahbaz Khan
104
9
0
11 May 2023
BiFormer: Vision Transformer with Bi-Level Routing Attention
BiFormer: Vision Transformer with Bi-Level Routing Attention
Lei Zhu
Xinjiang Wang
Zhanghan Ke
Wayne Zhang
Rynson W. H. Lau
179
524
0
15 Mar 2023
SegViT: Semantic Segmentation with Plain Vision Transformers
SegViT: Semantic Segmentation with Plain Vision Transformers
Bowen Zhang
Zhi Tian
Quan Tang
Xiangxiang Chu
Xiaolin K. Wei
Chunhua Shen
Yifan Liu
ViT
84
142
0
12 Oct 2022
Matryoshka Representation Learning
Matryoshka Representation Learning
Aditya Kusupati
Gantavya Bhatt
Aniket Rege
Matthew Wallingford
Aditya Sinha
...
William Howard-Snyder
Kaifeng Chen
Sham Kakade
Prateek Jain
Ali Farhadi
107
88
0
26 May 2022
Neighborhood Attention Transformer
Neighborhood Attention Transformer
Ali Hassani
Steven Walton
Jiacheng Li
Shengjia Li
Humphrey Shi
ViTAI4TS
94
274
0
14 Apr 2022
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
268
411
0
24 Jan 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
272
2,385
0
02 Dec 2021
ResMLP: Feedforward networks for image classification with
  data-efficient training
ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron
Piotr Bojanowski
Mathilde Caron
Matthieu Cord
Alaaeldin El-Nouby
...
Gautier Izacard
Armand Joulin
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
VLM
80
667
0
07 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
730
6,135
0
29 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
467
21,603
0
25 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
999
29,871
0
26 Feb 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
389
6,805
0
23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
682
41,483
0
22 Oct 2020
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
260
3,505
0
30 Sep 2019
Learning with Average Precision: Training Image Retrieval with a
  Listwise Loss
Learning with Average Precision: Training Image Retrieval with a Listwise Loss
Jérôme Revaud
Jon Almazán
Rafael Sampaio de Rezende
César Roberto de Souza
VLM
70
375
0
18 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
182
2,409
0
13 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
624
4,809
0
13 May 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODSSegVLM
121
1,727
0
13 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenovic
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
60
381
0
29 Mar 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
316
9,811
0
25 Oct 2017
Random Erasing Data Augmentation
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
100
3,649
0
16 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
805
132,454
0
12 Jun 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,035
0
04 Dec 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
408
1,891
0
18 Aug 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,654
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
1