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Stronger ViTs With Octic Equivariance

Stronger ViTs With Octic Equivariance

21 May 2025
David Nordström
Johan Edstedt
Fredrik Kahl
Georg Bökman
    ViT
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Papers citing "Stronger ViTs With Octic Equivariance"

38 / 38 papers shown
Title
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in
  Hematology
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
Valentin Koch
S. J. Wagner
Salome Kazeminia
Ece Sancar
Matthias Hehr
Julia A. Schnabel
Tingying Peng
Carsten Marr
AI4CE
MedIm
55
6
0
07 Apr 2024
DUSt3R: Geometric 3D Vision Made Easy
DUSt3R: Geometric 3D Vision Made Easy
Shuzhe Wang
Vincent Leroy
Yohann Cabon
Boris Chidlovskii
Jérôme Revaud
3DGS
58
345
0
21 Dec 2023
A General Framework for Robust G-Invariance in G-Equivariant Networks
A General Framework for Robust G-Invariance in G-Equivariant Networks
Sophia Sanborn
Nina Miolane
AAML
OOD
55
4
0
28 Oct 2023
Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in
  Position-Orientation Space
Fast, Expressive SE(n)(n)(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space
Erik J. Bekkers
Sharvaree P. Vadgama
Rob D. Hesselink
P. A. V. D. Linden
David W. Romero
36
27
0
04 Oct 2023
FlashAttention-2: Faster Attention with Better Parallelism and Work
  Partitioning
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Tri Dao
LRM
64
1,221
0
17 Jul 2023
$E(2)$-Equivariant Vision Transformer
E(2)E(2)E(2)-Equivariant Vision Transformer
Renjun Xu
Kaifan Yang
Ke Liu
Fengxiang He
ViT
MDE
45
10
0
11 Jun 2023
RoMa: Robust Dense Feature Matching
RoMa: Robust Dense Feature Matching
Johan Edstedt
Qiyu Sun
Georg Bökman
Maarten Wadenback
Michael Felsberg
3DV
55
98
0
24 May 2023
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
Ibrahim Alabdulmohsin
Xiaohua Zhai
Alexander Kolesnikov
Lucas Beyer
VLM
63
60
0
22 May 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLM
CLIP
SSL
242
3,205
0
14 Apr 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
238
7,047
0
05 Apr 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution
  Vision Transformer
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
Xuanyao Chen
Zhijian Liu
Haotian Tang
Li Yi
Hang Zhao
Song Han
ViT
124
48
0
30 Mar 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
121
585
0
10 Feb 2023
Equivariance with Learned Canonicalization Functions
Equivariance with Learned Canonicalization Functions
Sekouba Kaba
Arnab Kumar Mondal
Yan Zhang
Yoshua Bengio
Siamak Ravanbakhsh
65
67
0
11 Nov 2022
Group-invariant max filtering
Group-invariant max filtering
Jameson Cahill
Joseph W. Iverson
D. Mixon
Dan Packer
44
23
0
27 May 2022
DeiT III: Revenge of the ViT
DeiT III: Revenge of the ViT
Hugo Touvron
Matthieu Cord
Hervé Jégou
ViT
101
402
0
14 Apr 2022
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
59
722
0
15 Nov 2021
Scaling Vision Transformers
Scaling Vision Transformers
Xiaohua Zhai
Alexander Kolesnikov
N. Houlsby
Lucas Beyer
ViT
107
1,074
0
08 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks
Geometric Deep Learning and Equivariant Neural Networks
Jan E. Gerken
J. Aronsson
Oscar Carlsson
Hampus Linander
F. Ohlsson
Christoffer Petersson
Daniel Persson
MLT
63
67
0
28 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
553
5,920
0
29 Apr 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
269
1,137
0
27 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
288
21,051
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
CLIP
VLM
666
28,659
0
26 Feb 2021
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
317
40,217
0
22 Oct 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
275
12,847
0
26 May 2020
Attentive Group Equivariant Convolutional Networks
Attentive Group Equivariant Convolutional Networks
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
63
91
0
07 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
440
4,662
0
23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
221
42,038
0
03 Dec 2019
General $E(2)$-Equivariant Steerable CNNs
General E(2)E(2)E(2)-Equivariant Steerable CNNs
Maurice Weiler
Gabriele Cesa
69
516
0
19 Nov 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
75
1,693
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
VLM
SSL
SSeg
882
93,936
0
11 Oct 2018
Roto-Translation Covariant Convolutional Networks for Medical Image
  Analysis
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
Erik J. Bekkers
Maxime W. Lafarge
M. Veta
K. Eppenhof
J. Pluim
R. Duits
MedIm
40
173
0
10 Apr 2018
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
430
129,831
0
12 Jun 2017
Steerable CNNs
Steerable CNNs
Taco S. Cohen
Max Welling
BDL
97
498
0
27 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
322
1,850
0
18 Aug 2016
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
148
4,934
0
27 Jun 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
112
1,917
0
24 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
74
365
0
08 Feb 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.0K
39,383
0
01 Sep 2014
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