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Revisiting Spatial Invariance with Low-Rank Local Connectivity

Revisiting Spatial Invariance with Low-Rank Local Connectivity

7 February 2020
Gamaleldin F. Elsayed
Prajit Ramachandran
Jonathon Shlens
Simon Kornblith
ArXivPDFHTML

Papers citing "Revisiting Spatial Invariance with Low-Rank Local Connectivity"

30 / 30 papers shown
Title
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural
  Kernel Theory
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
93
2
0
16 Dec 2024
Symmetry From Scratch: Group Equivariance as a Supervised Learning Task
Symmetry From Scratch: Group Equivariance as a Supervised Learning Task
Haozhe Huang
Leo Kaixuan Cheng
Kaiwen Chen
Alán Aspuru-Guzik
33
0
0
05 Oct 2024
SENTINEL: Securing Indoor Localization against Adversarial Attacks with
  Capsule Neural Networks
SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks
Danish Gufran
Pooja Anandathirtha
S. Pasricha
AAML
35
1
0
14 Jul 2024
STF: Spatio-Temporal Fusion Module for Improving Video Object Detection
STF: Spatio-Temporal Fusion Module for Improving Video Object Detection
Noreen Anwar
Guillaume-Alexandre Bilodeau
W. Bouachir
ViT
30
0
0
16 Feb 2024
Spatially Covariant Image Registration with Text Prompts
Spatially Covariant Image Registration with Text Prompts
Xiang Chen
Min Liu
Rongguang Wang
Renjiu Hu
Dongdong Liu
Gaolei Li
Hang Zhang
MedIm
38
9
0
27 Nov 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group
  Convolution
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
44
10
0
03 Oct 2023
Modularity in Deep Learning: A Survey
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
35
2
0
02 Oct 2023
Temporally-Adaptive Models for Efficient Video Understanding
Temporally-Adaptive Models for Efficient Video Understanding
Ziyuan Huang
Shiwei Zhang
Liang Pan
Zhiwu Qing
Yingya Zhang
Ziwei Liu
Marcelo H. Ang
41
9
0
10 Aug 2023
RFAConv: Innovating Spatial Attention and Standard Convolutional
  Operation
RFAConv: Innovating Spatial Attention and Standard Convolutional Operation
X. Zhang
Chen Liu
Degang Yang
Tingting Song
Yichen Ye
Ke Li
Ying Song
29
110
0
06 Apr 2023
Resolution Enhancement Processing on Low Quality Images Using Swin
  Transformer Based on Interval Dense Connection Strategy
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
Ruikang Ju
Chih-Chia Chen
Jen-Shiun Chiang
Yu-Shian Lin
Wei-Han Chen
Chun-Tse Chien
27
17
0
16 Mar 2023
Spatially Covariant Lesion Segmentation
Spatially Covariant Lesion Segmentation
Hang Zhang
Rongguang Wang
Jinwei Zhang
Dongdong Liu
Chao Li
Jiahao Nick Li
MedIm
37
7
0
19 Jan 2023
Spatial Mixture-of-Experts
Spatial Mixture-of-Experts
Nikoli Dryden
Torsten Hoefler
MoE
36
9
0
24 Nov 2022
Studying inductive biases in image classification task
Studying inductive biases in image classification task
N. Arizumi
31
1
0
31 Oct 2022
Equivariance-aware Architectural Optimization of Neural Networks
Equivariance-aware Architectural Optimization of Neural Networks
Kaitlin Maile
Dennis G. Wilson
Patrick Forré
AI4CE
47
9
0
11 Oct 2022
DnSwin: Toward Real-World Denoising via Continuous Wavelet
  Sliding-Transformer
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer
Hao Li
Zhijing Yang
Xiaobin Hong
Ziying Zhao
Junyang Chen
Yukai Shi
Jin-shan Pan
DiffM
ViT
43
11
0
28 Jul 2022
Rethinking Spatial Invariance of Convolutional Networks for Object
  Counting
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng
Qi Dai
Hong Li
JingKuan Song
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
42
95
0
10 Jun 2022
Improving Sample Efficiency of Value Based Models Using Attention and
  Vision Transformers
Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers
Amir Ardalan Kalantari
Mohammad Amini
Sarath Chandar
Doina Precup
52
4
0
01 Feb 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Rui Wang
Robin Walters
Rose Yu
38
75
0
28 Jan 2022
TAda! Temporally-Adaptive Convolutions for Video Understanding
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang
Shiwei Zhang
Liang Pan
Zhiwu Qing
Mingqian Tang
Ziwei Liu
M. Ang
43
49
0
12 Oct 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Peng Sun
Luc Van Gool
Radu Timofte
ViT
83
2,818
0
23 Aug 2021
Towards Biologically Plausible Convolutional Networks
Towards Biologically Plausible Convolutional Networks
Roman Pogodin
Yash Mehta
Timothy Lillicrap
P. Latham
26
22
0
22 Jun 2021
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
Ashish Vaswani
Prajit Ramachandran
A. Srinivas
Niki Parmar
Blake A. Hechtman
Jonathon Shlens
27
395
0
23 Mar 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive
  Biases
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane dÁscoli
Hugo Touvron
Matthew L. Leavitt
Ari S. Morcos
Giulio Biroli
Levent Sagun
ViT
58
806
0
19 Mar 2021
Mind the Pad -- CNNs can Develop Blind Spots
Mind the Pad -- CNNs can Develop Blind Spots
B. Alsallakh
Narine Kokhlikyan
Vivek Miglani
Jun Yuan
Orion Reblitz-Richardson
16
74
0
05 Oct 2020
Meta-Learning Symmetries by Reparameterization
Meta-Learning Symmetries by Reparameterization
Allan Zhou
Tom Knowles
Chelsea Finn
OOD
24
91
0
06 Jul 2020
Hierarchically Compositional Tasks and Deep Convolutional Networks
Hierarchically Compositional Tasks and Deep Convolutional Networks
Arturo Deza
Q. Liao
Andrzej Banburski
T. Poggio
BDL
OOD
27
2
0
24 Jun 2020
Learning compact generalizable neural representations supporting
  perceptual grouping
Learning compact generalizable neural representations supporting perceptual grouping
Vijay Veerabadran
V. D. Sa
20
2
0
21 Jun 2020
Graph-Based Global Reasoning Networks
Graph-Based Global Reasoning Networks
Yunpeng Chen
Marcus Rohrbach
Zhicheng Yan
Shuicheng Yan
Jiashi Feng
Yannis Kalantidis
GNN
NAI
268
457
0
30 Nov 2018
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip Torr
67
437
0
06 Apr 2018
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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