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Making Convolutional Networks Shift-Invariant Again
v1v2 (latest)

Making Convolutional Networks Shift-Invariant Again

25 April 2019
Richard Y. Zhang
    OOD
ArXiv (abs)PDFHTML

Papers citing "Making Convolutional Networks Shift-Invariant Again"

50 / 438 papers shown
Title
Improved Robustness of Vision Transformer via PreLayerNorm in Patch
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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
106
11
0
16 Nov 2021
Enabling equivariance for arbitrary Lie groups
Enabling equivariance for arbitrary Lie groupsComputer Vision and Pattern Recognition (CVPR), 2021
L. MacDonald
Sameera Ramasinghe
Simon Lucey
AAML
182
27
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
GANSSL
201
25
0
12 Nov 2021
On the Frequency Bias of Generative Models
On the Frequency Bias of Generative ModelsNeural Information Processing Systems (NeurIPS), 2021
Katja Schwarz
Yiyi Liao
Andreas Geiger
145
97
0
03 Nov 2021
Blending Anti-Aliasing into Vision Transformer
Blending Anti-Aliasing into Vision TransformerNeural Information Processing Systems (NeurIPS), 2021
Shengju Qian
Hao Shao
Yi Zhu
Mu Li
Jiaya Jia
171
23
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
Zinan Lin
274
128
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
200
599
0
18 Oct 2021
Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in
  Convolutional Neural Networks
Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks
Adithya Sineesh
Mahesh Raveendranatha Panicker
69
2
0
17 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
352
91
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 conditionsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Ge Zhu
Frank Cwitkowitz
Z. Duan
210
3
0
08 Oct 2021
UniNet: Unified Architecture Search with Convolution, Transformer, and
  MLP
UniNet: Unified Architecture Search with Convolution, Transformer, and MLPEuropean Conference on Computer Vision (ECCV), 2021
Jihao Liu
Jiaming Song
Guanglu Song
Xin Huang
Yu Liu
ViT
199
38
0
08 Oct 2021
Score-based diffusion models for accelerated MRI
Score-based diffusion models for accelerated MRI
Hyungjin Chung
Jong Chul Ye
DiffMMedIm
384
495
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
133
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
171
19
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
AAMLViT
210
89
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
145
18
0
03 Oct 2021
ML4ML: Automated Invariance Testing for Machine Learning Models
ML4ML: Automated Invariance Testing for Machine Learning ModelsInternational Conference on Artificial Intelligence Testing (ICAIT), 2021
Zukang Liao
Pengfei Zhang
Min Chen
VLM
127
3
0
27 Sep 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Zhendong Zhang
OOD
109
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
154
9
0
21 Sep 2021
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional
  Networks
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks
Bo Wang
J. Hsieh
Ming-Ching Chang
Ping-Yang Chen
Lipeng Ke
Siwei Lyu
FAtt
274
15
0
13 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
195
57
0
13 Sep 2021
Scalable Font Reconstruction with Dual Latent Manifolds
Scalable Font Reconstruction with Dual Latent ManifoldsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Nikita Srivatsan
Si Wu
Jonathan T. Barron
Taylor Berg-Kirkpatrick
BDL
122
5
0
10 Sep 2021
Training Deep Networks from Zero to Hero: avoiding pitfalls and going
  beyond
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyondSIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2021
M. Ponti
Fernando Pereira dos Santos
Leo Sampaio Ferraz Ribeiro
G. B. Cavallari
152
17
0
06 Sep 2021
Dead Pixel Test Using Effective Receptive Field
Dead Pixel Test Using Effective Receptive FieldPattern Recognition Letters (PR), 2021
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Dong Gu Lee
Wonseok Jeong
Sang Woo Kim
113
31
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
Hao Sun
Xu Sun
AI4TS
162
5
0
20 Aug 2021
Global Pooling, More than Meets the Eye: Position Information is Encoded
  Channel-Wise in CNNs
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
Md. Amirul Islam
M. Kowal
Sen Jia
Konstantinos G. Derpanis
Neil D. B. Bruce
117
32
0
17 Aug 2021
Zero-Shot Day-Night Domain Adaptation with a Physics Prior
Zero-Shot Day-Night Domain Adaptation with a Physics PriorIEEE International Conference on Computer Vision (ICCV), 2021
A. Lengyel
Sourav Garg
Michael Milford
Jan van Gemert
191
76
0
11 Aug 2021
Impact of Aliasing on Generalization in Deep Convolutional Networks
Impact of Aliasing on Generalization in Deep Convolutional NetworksIEEE International Conference on Computer Vision (ICCV), 2021
C. N. Vasconcelos
Hugo Larochelle
Vincent Dumoulin
Rob Romijnders
Nicolas Le Roux
Ross Goroshin
OOD
186
38
0
07 Aug 2021
Toward Spatially Unbiased Generative Models
Toward Spatially Unbiased Generative Models
Jooyoung Choi
Jungbeom Lee
Yonghyun Jeong
Sungroh Yoon
DiffM
330
17
0
03 Aug 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for
  Noise-Robust Image Classification
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image ClassificationIEEE Transactions on Image Processing (TIP), 2021
Qiufu Li
Linlin Shen
Sheng Guo
Zhihui Lai
OOD
167
112
0
28 Jul 2021
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar
  Frequencies
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar FrequenciesIEEE Access (IEEE Access), 2021
Carsten Ditzel
Klaus C. J. Dietmayer
117
3
0
19 Jul 2021
Neural Representation Learning for Scribal Hands of Linear B
Neural Representation Learning for Scribal Hands of Linear B
Nikita Srivatsan
J. Vega
C. Skelton
Taylor Berg-Kirkpatrick
70
5
0
14 Jul 2021
Improving Sound Event Classification by Increasing Shift Invariance in
  Convolutional Neural Networks
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
Eduardo Fonseca
Andrés Ferraro
Xavier Serra
AI4TS
219
11
0
01 Jul 2021
Exploring Robust Architectures for Deep Artificial Neural Networks
Exploring Robust Architectures for Deep Artificial Neural NetworksCommunications Engineer (CE), 2021
Asim Waqas
Ghulam Rasool
Hamza Farooq
N. Bouaynaya
OODAAML
167
17
0
30 Jun 2021
Finding simplicity: unsupervised discovery of features, patterns, and
  order parameters via shift-invariant variational autoencoders
Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
M. Ziatdinov
C. Wong
Sergei V. Kalinin
OOD
173
11
0
23 Jun 2021
Alias-Free Generative Adversarial Networks
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
781
1,834
0
23 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent SpaceNeural Information Processing Systems (NeurIPS), 2021
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
350
793
0
10 Jun 2021
Group Equivariant Subsampling
Group Equivariant SubsamplingNeural Information Processing Systems (NeurIPS), 2021
Jin Xu
Hyunjik Kim
Tom Rainforth
Yee Whye Teh
129
23
0
10 Jun 2021
Grounding inductive biases in natural images:invariance stems from
  variations in data
Grounding inductive biases in natural images:invariance stems from variations in dataNeural Information Processing Systems (NeurIPS), 2021
Diane Bouchacourt
Mark Ibrahim
Ari S. Morcos
OOD
192
29
0
09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and PrimerACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
247
43
0
09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain
  Adaptation
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationInternational Conference on Learning Representations (ICLR), 2021
David Berthelot
Rebecca Roelofs
Kihyuk Sohn
Nicholas Carlini
Alexey Kurakin
274
168
0
08 Jun 2021
Resolution learning in deep convolutional networks using scale-space
  theory
Resolution learning in deep convolutional networks using scale-space theoryIEEE Transactions on Image Processing (TIP), 2021
Silvia L.Pintea
Nergis Tomen
Stanley F. Goes
Marco Loog
Jan van Gemert
SupRSSL
262
40
0
07 Jun 2021
Highlighting the Importance of Reducing Research Bias and Carbon
  Emissions in CNNs
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNsInternational Conference of the Italian Association for Artificial Intelligence (AIxIA), 2021
A. Badar
Arnav Varma
Adrian Staniec
Mahmoud Gamal
Omar Magdy
Haris Iqbal
Elahe Arani
Bahram Zonooz
220
9
0
06 Jun 2021
Can convolutional ResNets approximately preserve input distances? A
  frequency analysis perspective
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective
Lewis Smith
Joost R. van Amersfoort
Haiwen Huang
Stephen J. Roberts
Y. Gal
170
7
0
04 Jun 2021
Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
Fre-GAN: Adversarial Frequency-consistent Audio SynthesisInterspeech (Interspeech), 2021
Ji-Hoon Kim
Sang-Hoon Lee
Ji-Hyun Lee
Seong-Whan Lee
190
59
0
04 Jun 2021
Neuron segmentation using 3D wavelet integrated encoder-decoder network
Neuron segmentation using 3D wavelet integrated encoder-decoder network
Qiufu Li
Linlin Shen
3DV
132
12
0
01 Jun 2021
How saccadic vision might help with theinterpretability of deep networks
How saccadic vision might help with theinterpretability of deep networksIEEE International Joint Conference on Neural Network (IJCNN), 2021
Iana Sereda
Grigory V. Osipov
FAtt
102
0
0
27 May 2021
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy,
  Uncertainty, and Robustness
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and RobustnessInternational Conference on Machine Learning (ICML), 2021
Namuk Park
S. Kim
UQCVAAML
238
24
0
26 May 2021
Towards Robust Vision Transformer
Towards Robust Vision TransformerComputer Vision and Pattern Recognition (CVPR), 2021
Xiaofeng Mao
Gege Qi
YueFeng Chen
Xiaodan Li
Ranjie Duan
Shaokai Ye
Yuan He
Hui Xue
ViT
362
224
0
17 May 2021
Truly shift-equivariant convolutional neural networks with adaptive
  polyphase upsampling
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsamplingAsilomar Conference on Signals, Systems and Computers (ACSSC), 2021
Anadi Chaman
Ivan Dokmanić
152
11
0
09 May 2021
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