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Making Convolutional Networks Shift-Invariant Again

Making Convolutional Networks Shift-Invariant Again

25 April 2019
Richard Y. Zhang
    OOD
ArXivPDFHTML

Papers citing "Making Convolutional Networks Shift-Invariant Again"

50 / 175 papers shown
Title
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
32
16
0
14 Jul 2022
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by
  Group Convolution
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution
Xinrui Zhan
Yang Li
Wenyu Liu
Jianke Zhu
38
0
0
23 Jun 2022
Convolutional layers are equivariant to discrete shifts but not
  continuous translations
Convolutional layers are equivariant to discrete shifts but not continuous translations
N. McGreivy
Ammar Hakim
19
1
0
10 Jun 2022
Learning with Capsules: A Survey
Learning with Capsules: A Survey
Fabio De Sousa Ribeiro
Kevin Duarte
Miles Everett
Georgios Leontidis
M. Shah
3DPC
MedIm
39
19
0
06 Jun 2022
Saliency Map Based Data Augmentation
Saliency Map Based Data Augmentation
Jalal Al-Afandi
B. Magyar
András Horváth
16
0
0
29 May 2022
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action
  Recognition using WiFi
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi
Yanling Hao
Zhiyuan Shi
Xidong Mu
Yuanwei Liu
24
2
0
24 May 2022
Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks
  for Lighter, Faster and Robust Models
Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust Models
Sabeesh Ethiraj
B. Bolla
17
2
0
23 May 2022
Test-time Batch Normalization
Test-time Batch Normalization
Tao Yang
Shenglong Zhou
Yuwang Wang
Yan Lu
Nanning Zheng
OOD
57
9
0
20 May 2022
What is an equivariant neural network?
What is an equivariant neural network?
Lek-Heng Lim
Bradley J. Nelson
BDL
FedML
MLT
32
22
0
15 May 2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser
  Neural Network Architecture for Light Guide Plate Surface Defect Detection
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection
Carol Xu
M. Famouri
Gautam Bathla
M. Shafiee
Alexander Wong
33
1
0
25 Apr 2022
Real-World Deep Local Motion Deblurring
Real-World Deep Local Motion Deblurring
Haoying Li
Ziran Zhang
Tingting Jiang
Peng Luo
H. Feng
Zhihai Xu
30
27
0
18 Apr 2022
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware
  Adversarial Training
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Yuanhao Cai
Xiaowan Hu
Haoqian Wang
Yulun Zhang
Hanspeter Pfister
D. Wei
26
64
0
06 Apr 2022
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance
  Fields
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
Yuedong Chen
Qianyi Wu
Chuanxia Zheng
Tat-Jen Cham
Jianfei Cai
47
37
0
21 Mar 2022
CapsNet for Medical Image Segmentation
CapsNet for Medical Image Segmentation
Minh-Trieu Tran
Viet-Khoa Vo-Ho
Kyle Quinn
Hien Nguyen
Khoa Luu
Ngan Le
MedIm
13
5
0
16 Mar 2022
MDMMT-2: Multidomain Multimodal Transformer for Video Retrieval, One
  More Step Towards Generalization
MDMMT-2: Multidomain Multimodal Transformer for Video Retrieval, One More Step Towards Generalization
Alexander Kunitsyn
M. Kalashnikov
Maksim Dzabraev
Andrei Ivaniuta
30
16
0
14 Mar 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Maura Pintor
Daniele Angioni
Angelo Sotgiu
Christian Scano
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
33
49
0
07 Mar 2022
How Do Vision Transformers Work?
How Do Vision Transformers Work?
Namuk Park
Songkuk Kim
ViT
47
466
0
14 Feb 2022
Feature-level augmentation to improve robustness of deep neural networks
  to affine transformations
Feature-level augmentation to improve robustness of deep neural networks to affine transformations
A. Sandru
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
OOD
16
3
0
10 Feb 2022
Learning strides in convolutional neural networks
Learning strides in convolutional neural networks
Rachid Riad
O. Teboul
David Grangier
Neil Zeghidour
36
41
0
03 Feb 2022
Symmetry-aware Neural Architecture for Embodied Visual Navigation
Symmetry-aware Neural Architecture for Embodied Visual Navigation
Shuang Liu
Takayuki Okatani
34
1
0
17 Dec 2021
Mitigating the Bias of Centered Objects in Common Datasets
Mitigating the Bias of Centered Objects in Common Datasets
Gergely G. Szabo
A. Horváth
16
5
0
16 Dec 2021
Ensembling Off-the-shelf Models for GAN Training
Ensembling Off-the-shelf Models for GAN Training
Nupur Kumari
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
34
86
0
16 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
42
541
0
15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin
  Diffusion
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
30
231
0
14 Dec 2021
Deep ViT Features as Dense Visual Descriptors
Deep ViT Features as Dense Visual Descriptors
Shirzad Amir
Yossi Gandelsman
Shai Bagon
Tali Dekel
MDE
ViT
36
274
0
10 Dec 2021
HeadNeRF: A Real-time NeRF-based Parametric Head Model
HeadNeRF: A Real-time NeRF-based Parametric Head Model
Yang Hong
Bo Peng
Haiyao Xiao
Ligang Liu
Juyong Zhang
3DH
30
247
0
10 Dec 2021
Fast Point Transformer
Fast Point Transformer
Chunghyun Park
Yoonwoo Jeong
Minsu Cho
Jaesik Park
3DPC
ViT
38
169
0
09 Dec 2021
A Systematic Review of Robustness in Deep Learning for Computer Vision:
  Mind the gap?
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan G. Drenkow
Numair Sani
I. Shpitser
Mathias Unberath
19
75
0
01 Dec 2021
Exploration into Translation-Equivariant Image Quantization
Exploration into Translation-Equivariant Image Quantization
W. Shin
Gyubok Lee
Jiyoung Lee
Eun-Young Lyou
Joonseok Lee
Edward Choi
38
7
0
01 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via
  Regularized Domain Concatenation
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
Lingdong Kong
N. Quader
Venice Erin Liong
24
48
0
30 Nov 2021
Improved Robustness of Vision Transformer via PreLayerNorm in Patch
  Embedding
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Dong Gu Lee
Wonseok Jeong
Sang Woo Kim
ViT
27
8
0
16 Nov 2021
Enabling equivariance for arbitrary Lie groups
Enabling equivariance for arbitrary Lie groups
L. MacDonald
Sameera Ramasinghe
Simon Lucey
AAML
27
25
0
16 Nov 2021
Contrastive Feature Loss for Image Prediction
Contrastive Feature Loss for Image Prediction
A. Andonian
Taesung Park
Bryan C. Russell
Phillip Isola
Jun-Yan Zhu
Richard Y. Zhang
GAN
SSL
43
19
0
12 Nov 2021
Blending Anti-Aliasing into Vision Transformer
Blending Anti-Aliasing into Vision Transformer
Shengju Qian
Hao Shao
Yi Zhu
Mu Li
Jiaya Jia
28
20
0
28 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust
  Training
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zhangyang Wang
27
107
0
26 Oct 2021
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image
  Synthesis
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis
Jiatao Gu
Lingjie Liu
Peng Wang
Christian Theobalt
VGen
14
552
0
18 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel
  Sizes
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
David W. Romero
Robert-Jan Bruintjes
Jakub M. Tomczak
Erik J. Bekkers
Mark Hoogendoorn
Jan van Gemert
80
82
0
15 Oct 2021
A study of the robustness of raw waveform based speaker embeddings under
  mismatched conditions
A study of the robustness of raw waveform based speaker embeddings under mismatched conditions
Ge Zhu
Frank Cwitkowitz
Z. Duan
22
2
0
08 Oct 2021
UniNet: Unified Architecture Search with Convolution, Transformer, and
  MLP
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
Jihao Liu
Hongsheng Li
Guanglu Song
Xin Huang
Yu Liu
ViT
37
35
0
08 Oct 2021
Score-based diffusion models for accelerated MRI
Score-based diffusion models for accelerated MRI
Hyungjin Chung
Jong Chul Ye
DiffM
MedIm
54
401
0
08 Oct 2021
Large-Scale Topological Radar Localization Using Learned Descriptors
Large-Scale Topological Radar Localization Using Learned Descriptors
J. Komorowski
Monika Wysoczanska
Tomasz Trzciñski
33
7
0
06 Oct 2021
Style Equalization: Unsupervised Learning of Controllable Generative
  Sequence Models
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Jen-Hao Rick Chang
A. Shrivastava
H. Koppula
Xiaoshuai Zhang
Oncel Tuzel
DiffM
51
16
0
06 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to
  CNNs
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
ViT
47
79
0
06 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring
  and Activation Function
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
49
13
0
03 Oct 2021
ML4ML: Automated Invariance Testing for Machine Learning Models
ML4ML: Automated Invariance Testing for Machine Learning Models
Zukang Liao
Pengfei Zhang
Min Chen
VLM
21
3
0
27 Sep 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Zhendong Zhang
OOD
21
5
0
24 Sep 2021
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning
Hadi Alzayer
Hubert Lin
Kavita Bala
54
7
0
21 Sep 2021
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
Yangyu Huang
Hao Yang
Chong Li
Jongyoo Kim
Fangyun Wei
CVBM
29
46
0
13 Sep 2021
Dead Pixel Test Using Effective Receptive Field
Dead Pixel Test Using Effective Receptive Field
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Dong Gu Lee
Wonseok Jeong
Sang Woo Kim
27
25
0
31 Aug 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series
ASAT: Adaptively Scaled Adversarial Training in Time Series
Zhiyuan Zhang
Wei Li
Ruihan Bao
Keiko Harimoto
Yunfang Wu
Xu Sun
AI4TS
27
5
0
20 Aug 2021
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