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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
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
26
27
0
17 Aug 2021
Zero-Shot Day-Night Domain Adaptation with a Physics Prior
Zero-Shot Day-Night Domain Adaptation with a Physics Prior
A. Lengyel
Sourav Garg
Michael Milford
Jan van Gemert
60
57
0
11 Aug 2021
Toward Spatially Unbiased Generative Models
Toward Spatially Unbiased Generative Models
Jooyoung Choi
Jungbeom Lee
Yonghyun Jeong
Sungroh Yoon
DiffM
30
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 Classification
Qiufu Li
Linlin Shen
Sheng Guo
Zhihui Lai
OOD
23
84
0
28 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
27
9
0
01 Jul 2021
Exploring Robust Architectures for Deep Artificial Neural Networks
Exploring Robust Architectures for Deep Artificial Neural Networks
Asim Waqas
Ghulam Rasool
Hamza Farooq
N. Bouaynaya
OOD
AAML
26
14
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
24
10
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
107
1,566
0
23 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
16
659
0
10 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
26
31
0
09 Jun 2021
Resolution learning in deep convolutional networks using scale-space
  theory
Resolution learning in deep convolutional networks using scale-space theory
Silvia L.Pintea
Nergis Tomen
Stanley F. Goes
Marco Loog
Jan van Gemert
SupR
SSL
32
37
0
07 Jun 2021
How saccadic vision might help with theinterpretability of deep networks
How saccadic vision might help with theinterpretability of deep networks
Iana Sereda
Grigory V. Osipov
FAtt
33
0
0
27 May 2021
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu
Haoming Cai
Chao Dong
Jimmy S. J. Ren
Yu Qiao
...
Sewoong Ahn
Gwangjin Yoon
Koki Tsubota
Hiroaki Akutsu
Kiyoharu Aizawa
SupR
41
38
0
07 May 2021
Relative stability toward diffeomorphisms indicates performance in deep
  nets
Relative stability toward diffeomorphisms indicates performance in deep nets
Leonardo Petrini
Alessandro Favero
Mario Geiger
M. Wyart
OOD
38
15
0
06 May 2021
Ensembling with Deep Generative Views
Ensembling with Deep Generative Views
Lucy Chai
Jun-Yan Zhu
Eli Shechtman
Phillip Isola
Richard Y. Zhang
GAN
30
70
0
29 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet
  Scattering Transforms
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms
A. Saydjari
D. Finkbeiner
33
20
0
22 Apr 2021
Estimating Traffic Speeds using Probe Data: A Deep Neural Network
  Approach
Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach
Felix Rempe
P. Franeck
Klaus Bogenberger
3DV
24
2
0
19 Apr 2021
A New Dimension in Testimony: Relighting Video with Reflectance Field
  Exemplars
A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars
Loc Huynh
B. Kishore
P. Debevec
3DH
29
2
0
06 Apr 2021
LiftPool: Bidirectional ConvNet Pooling
LiftPool: Bidirectional ConvNet Pooling
Jiaojiao Zhao
Cees G. M. Snoek
8
19
0
02 Apr 2021
Modeling the Nonsmoothness of Modern Neural Networks
Modeling the Nonsmoothness of Modern Neural Networks
Runze Liu
Chau-Wai Wong
H. Dai
FAtt
21
0
0
26 Mar 2021
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Xiaohan Ding
Xinming Zhang
Jungong Han
Guiguang Ding
AI4CE
25
277
0
24 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Matthew Tancik
Peter Hedman
Ricardo Martín Brualla
Pratul P. Srinivasan
16
1,911
0
24 Mar 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
Revisiting ResNets: Improved Training and Scaling Strategies
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello
W. Fedus
Xianzhi Du
E. D. Cubuk
A. Srinivas
Nayeon Lee
Jonathon Shlens
Barret Zoph
31
298
0
13 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual
  Recognition
Involution: Inverting the Inherence of Convolution for Visual Recognition
Duo Li
Jie Hu
Changhu Wang
Xiangtai Li
Qi She
Lei Zhu
Tong Zhang
Qifeng Chen
BDL
19
304
0
10 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
183
27,846
0
26 Feb 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
25
21
0
24 Feb 2021
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image
  Harmonization
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
Mengwei Ren
Neel Dey
J. Fishbaugh
Guido Gerig
MedIm
105
38
0
11 Feb 2021
LEAF: A Learnable Frontend for Audio Classification
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour
O. Teboul
Félix de Chaumont Quitry
Marco Tagliasacchi
VLM
AAML
85
144
0
21 Jan 2021
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation
Carlos Alberto Silva
Adriano Pinto
Sérgio Pereira
Ana P. Lopes
24
11
0
02 Jan 2021
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate
  Single-Shot Object Detection
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
Ping-Yang Chen
Chien-Yao Wang
J. Hsieh
Munkhjargal Gochoo
ObjD
29
79
0
03 Dec 2020
Truly shift-invariant convolutional neural networks
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
23
68
0
28 Nov 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
84
6,113
0
26 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks
An Effective Anti-Aliasing Approach for Residual Networks
C. N. Vasconcelos
Hugo Larochelle
Vincent Dumoulin
Nicolas Le Roux
Ross Goroshin
SupR
33
32
0
20 Nov 2020
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art
  Binarized Neural Networks
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks
T. Bannink
Arash Bakhtiari
Adam Hillier
Lukas Geiger
T. D. Bruin
Leon Overweel
J. Neeven
K. Helwegen
3DV
MQ
13
36
0
18 Nov 2020
Structured Visual Search via Composition-aware Learning
Structured Visual Search via Composition-aware Learning
Mert Kilickaya
A. Smeulders
CoGe
30
5
0
27 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zhangyang Wang
30
227
0
26 Oct 2020
SESQA: semi-supervised learning for speech quality assessment
SESQA: semi-supervised learning for speech quality assessment
Joan Serrà
Jordi Pons
Santiago Pascual
21
42
0
01 Oct 2020
Shift Equivariance in Object Detection
Shift Equivariance in Object Detection
M. Manfredi
Yu Wang
ObjD
17
18
0
13 Aug 2020
Learning to Factorize and Relight a City
Learning to Factorize and Relight a City
Andrew Liu
Shiry Ginosar
Tinghui Zhou
Alexei A. Efros
Noah Snavely
11
44
0
06 Aug 2020
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual
  Image Restoration
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Jinjin Gu
Haoming Cai
Haoyu Chen
Xiaoxing Ye
Jimmy S. J. Ren
Chao Dong
35
191
0
23 Jul 2020
Robust Image Classification Using A Low-Pass Activation Function and DCT
  Augmentation
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
16
10
0
18 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
13
154
0
16 Jul 2020
Swapping Autoencoder for Deep Image Manipulation
Swapping Autoencoder for Deep Image Manipulation
Taesung Park
Jun-Yan Zhu
Oliver Wang
Jingwan Lu
Eli Shechtman
Alexei A. Efros
Richard Y. Zhang
48
333
0
01 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
48
536
0
01 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
42
463
0
30 Jun 2020
From Discrete to Continuous Convolution Layers
From Discrete to Continuous Convolution Layers
Assaf Shocher
Ben Feinstein
Niv Haim
Michal Irani
8
17
0
19 Jun 2020
Neural Anisotropy Directions
Neural Anisotropy Directions
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
34
16
0
17 Jun 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems
Total Deep Variation: A Stable Regularizer for Inverse Problems
Erich Kobler
Alexander Effland
K. Kunisch
Thomas Pock
MedIm
27
19
0
15 Jun 2020
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for
  Radiological Osteoarthritis Detection
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection
N. Bayramoglu
M. Nieminen
S. Saarakkala
MedIm
11
7
0
24 May 2020
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