ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.11486
  4. Cited By
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 / 439 papers shown
Title
A Complete Recipe for Diffusion Generative Models
A Complete Recipe for Diffusion Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Kushagra Pandey
Stephan Mandt
DiffM
174
11
0
03 Mar 2023
Spatial Bias for Attention-free Non-local Neural Networks
Spatial Bias for Attention-free Non-local Neural NetworksExpert systems with applications (ESWA), 2023
Junhyung Go
Jongbin Ryu
SSL
133
11
0
24 Feb 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OODLLMSV
193
5
0
22 Feb 2023
Cross-domain Compositing with Pretrained Diffusion Models
Cross-domain Compositing with Pretrained Diffusion Models
Roy Hachnochi
Mingrui Zhao
Nadav Orzech
Rinon Gal
Ali Mahdavi-Amiri
Daniel Cohen-Or
Amit H. Bermano
DiffM
310
21
0
20 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image
  Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViTMedIm
239
304
0
19 Feb 2023
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
When Visible-to-Thermal Facial GAN Beats Conditional DiffusionInternational Conference on Information Photonics (ICIP), 2023
Catherine Ordun
Edward Raff
S. Purushotham
DiffM
191
7
0
18 Feb 2023
DNArch: Learning Convolutional Neural Architectures by Backpropagation
DNArch: Learning Convolutional Neural Architectures by Backpropagation
David W. Romero
Neil Zeghidour
AI4CE
143
4
0
10 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label ShiftInternational Conference on Machine Learning (ICML), 2023
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
322
44
0
06 Feb 2023
Hyperbolic Contrastive Learning
Hyperbolic Contrastive Learning
Yun Yue
Fangzhou Lin
Kazunori D Yamada
Ziming Zhang
SSL
318
22
0
02 Feb 2023
Deep networks for system identification: a Survey
Deep networks for system identification: a Survey
G. Pillonetto
Aleksandr Aravkin
Daniel Gedon
L. Ljung
Antônio H. Ribeiro
Thomas B. Schon
OOD
287
88
0
30 Jan 2023
Robust Transformer with Locality Inductive Bias and Feature
  Normalization
Robust Transformer with Locality Inductive Bias and Feature NormalizationEngineering Science and Technology, an International Journal (JEST), 2023
Omid Nejati Manzari
Hossein Kashiani
Hojat Asgarian Dehkordi
S. B. Shokouhi
ViT
173
19
0
27 Jan 2023
Progressive Meta-Pooling Learning for Lightweight Image Classification
  Model
Progressive Meta-Pooling Learning for Lightweight Image Classification ModelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Peijie Dong
Xin-Yi Niu
Zhiliang Tian
Lujun Li
Xiaodong Wang
Zimian Wei
H. Pan
Dongsheng Li
VLM
146
8
0
24 Jan 2023
Monocular 3D Object Detection using Multi-Stage Approaches with
  Attention and Slicing aided hyper inference
Monocular 3D Object Detection using Multi-Stage Approaches with Attention and Slicing aided hyper inference
Abonia Sojasingarayar
Ashish Patel
3DH
58
0
0
22 Dec 2022
Aliasing is a Driver of Adversarial Attacks
Aliasing is a Driver of Adversarial Attacks
Adrian Rodriguez-Munoz
Antonio Torralba
AAML
122
1
0
22 Dec 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for
  Surgical Scene Understanding
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene UnderstandingIEEE Transactions on Automation Science and Engineering (T-ASE), 2022
Mengya Xu
Mobarakol Islam
Ben Glocker
Hongliang Ren
149
2
0
22 Dec 2022
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate
  Surface Visual Quality Inspection Tailored for Real-World Manufacturing
  Environments
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing EnvironmentsAAAI Conference on Artificial Intelligence (AAAI), 2022
Carol Xu
M. Famouri
Gautam Bathla
M. Shafiee
Alexander Wong
128
2
0
20 Dec 2022
From Xception to NEXcepTion: New Design Decisions and Neural
  Architecture Search
From Xception to NEXcepTion: New Design Decisions and Neural Architecture SearchInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022
Hadar Shavit
Filip Jatelnicki
Pol Mor-Puigventós
W. Kowalczyk
121
3
0
16 Dec 2022
3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping
3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose MappingIEEE International Conference on Computer Vision (ICCV), 2022
Zhuoqian Yang
Shikai Li
Wayne Wu
Bo Dai
3DH
150
16
0
14 Dec 2022
Robust Perception through Equivariance
Robust Perception through EquivarianceInternational Conference on Machine Learning (ICML), 2022
Chengzhi Mao
Lingyu Zhang
Abhishek Joshi
Junfeng Yang
Hongya Wang
Carl Vondrick
BDLAAML
259
10
0
12 Dec 2022
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation
  for 3D Scene Understanding
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding
Jay Bhanushali
Manivannan Muniyandi
Praneeth Chakravarthula
3DPCViT
237
4
0
09 Dec 2022
From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets
From CNNs to Shift-Invariant Twin Models Based on Complex WaveletsEuropean Signal Processing Conference (EUSIPCO), 2022
Hubert Leterme
K. Polisano
V. Perrier
Alahari Karteek
258
1
0
01 Dec 2022
N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling
  Strategies and a Tweaked Network Architecture
N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture
Eva‐Maria Hock
T. Buchholz
Anselm Brachmann
Florian Jug
Alexander Freytag
130
19
0
15 Nov 2022
Homomorphic Self-Supervised Learning
Homomorphic Self-Supervised Learning
Thomas Anderson Keller
Xavier Suau
Luca Zappella
SSL
176
3
0
15 Nov 2022
Demystify Transformers & Convolutions in Modern Image Deep Networks
Demystify Transformers & Convolutions in Modern Image Deep NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jifeng Dai
Min Shi
Weiyun Wang
Sitong Wu
Linjie Xing
...
Lewei Lu
Jie Zhou
Xiaogang Wang
Botian Shi
Xiao-hua Hu
ViT
237
11
0
10 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasksInternational Conference on Machine Learning (ICML), 2022
Rahul Ramesh
Jialin Mao
Itay Griniasty
Rubing Yang
H. Teoh
Mark K. Transtrum
James P. Sethna
Pratik Chaudhari
SSLDRL
366
6
0
31 Oct 2022
The Robustness Limits of SoTA Vision Models to Natural Variation
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim
Q. Garrido
Ari S. Morcos
Diane Bouchacourt
VLM
171
17
0
24 Oct 2022
Similarity of Neural Architectures using Adversarial Attack
  Transferability
Similarity of Neural Architectures using Adversarial Attack TransferabilityEuropean Conference on Computer Vision (ECCV), 2022
Ian Ryu
Dongyoon Han
Byeongho Heo
Song Park
Sanghyuk Chun
Jong-Seok Lee
AAML
471
3
0
20 Oct 2022
Deformably-Scaled Transposed Convolution
Deformably-Scaled Transposed Convolution
Stefano B. Blumberg
Daniele Ravi
Moucheng Xu
Matteo Figini
Iasonas Kokkinos
Daniel C. Alexander
182
1
0
17 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant
  Convolutional Networks
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2022
Renan A. Rojas-Gomez
Teck-Yian Lim
Alex Schwing
Minh Do
Raymond A. Yeh
215
18
0
14 Oct 2022
Symmetry Defense Against CNN Adversarial Perturbation Attacks
Symmetry Defense Against CNN Adversarial Perturbation AttacksInformation Security Conference (IS), 2022
Blerta Lindqvist
AAML
299
2
0
08 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We
  Measure This?
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?Neural Information Processing Systems (NeurIPS), 2022
Henry Kvinge
Tegan H. Emerson
Grayson Jorgenson
Scott Vasquez
T. Doster
Jesse D. Lew
182
11
0
07 Oct 2022
The Lie Derivative for Measuring Learned Equivariance
The Lie Derivative for Measuring Learned EquivarianceInternational Conference on Learning Representations (ICLR), 2022
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
273
50
0
06 Oct 2022
Structure Guided Manifolds for Discovery of Disease Characteristics
Structure Guided Manifolds for Discovery of Disease Characteristics
Siyu Liu
Linfeng Liu
Xuan Vinh
Stuart Crozier
Craig B. Engstrom
F. Nasrallah
Shekhar S. Chandra
MedIm
116
0
0
22 Sep 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Mobarakol Islam
Ben Glocker
OOD
279
7
0
20 Sep 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
Hubert Leterme
K. Polisano
V. Perrier
Alahari Karteek
FAtt
455
2
0
19 Sep 2022
Transfering Low-Frequency Features for Domain Adaptation
Transfering Low-Frequency Features for Domain AdaptationIEEE International Conference on Multimedia and Expo (ICME), 2022
Zhaowen Li
Xu Zhao
Honghui Dong
Ming Tang
Jinqiao Wang
141
9
0
31 Aug 2022
Shift Variance in Scene Text Detection
Shift Variance in Scene Text Detection
M. Glitzner
Jan-Hendrik Neudeck
Philipp Härtinger
105
0
0
19 Aug 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging
  Reconstruction
One-shot Generative Prior in Hankel-k-space for Parallel Imaging ReconstructionIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hong Peng
Chenbo Jiang
Jing Cheng
Minghui Zhang
Shanshan Wang
Dong Liang
Qiegen Liu
DiffMMedIm
223
22
0
15 Aug 2022
Faster Attention Is What You Need: A Fast Self-Attention Neural Network
  Backbone Architecture for the Edge via Double-Condensing Attention Condensers
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers
Alexander Wong
M. Shafiee
Saad Abbasi
Saeejith Nair
M. Famouri
132
6
0
15 Aug 2022
RelPose: Predicting Probabilistic Relative Rotation for Single Objects
  in the Wild
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the WildEuropean Conference on Computer Vision (ECCV), 2022
Jason Y. Zhang
Deva Ramanan
Shubham Tulsiani
276
103
0
11 Aug 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
Speech Enhancement and Dereverberation with Diffusion-based Generative ModelsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Julius Richter
Simon Welker
Jean-Marie Lemercier
Bunlong Lay
Timo Gerkmann
DiffM
345
315
0
11 Aug 2022
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection
Caleb Tung
Abhinav Goel
Fischer Bordwell
Nick Eliopoulos
Xiao Hu
George K. Thiruvathukal
Yung-Hsiang Lu
68
5
0
28 Jul 2022
Shift-tolerant Perceptual Similarity Metric
Shift-tolerant Perceptual Similarity MetricEuropean Conference on Computer Vision (ECCV), 2022
Abhijay Ghildyal
Yifan Zhang
147
57
0
27 Jul 2022
Efficient CNN Architecture Design Guided by Visualization
Efficient CNN Architecture Design Guided by VisualizationIEEE International Conference on Multimedia and Expo (ICME), 2022
Liangqi Zhang
Haibo Shen
Yihao Luo
Xiang Cao
Leixilan Pan
Tianjiang Wang
Qi Feng
117
6
0
21 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and GeneralizationNeural Information Processing Systems (NeurIPS), 2022
Weijian Deng
Stephen Gould
Liang Zheng
OOD
205
24
0
14 Jul 2022
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation
  Learning
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation LearningEuropean Conference on Computer Vision (ECCV), 2022
Ting Yao
Yingwei Pan
Yehao Li
Chong-Wah Ngo
Tao Mei
ViT
420
186
0
11 Jul 2022
Cross-receptive Focused Inference Network for Lightweight Image
  Super-Resolution
Cross-receptive Focused Inference Network for Lightweight Image Super-ResolutionIEEE transactions on multimedia (IEEE TMM), 2022
Wenjie Li
Juncheng Li
Guangwei Gao
Jiantao Zhou
Jian Yang
Guo-Jun Qi
SupR
219
56
0
06 Jul 2022
Generalization to translation shifts: a study in architectures and
  augmentations
Generalization to translation shifts: a study in architectures and augmentations
Suriya Gunasekar
165
2
0
05 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
142
0
0
23 Jun 2022
ProtoCLIP: Prototypical Contrastive Language Image Pretraining
ProtoCLIP: Prototypical Contrastive Language Image PretrainingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Delong Chen
Zhao Wu
Fan Liu
Zaiquan Yang
Huaxi Huang
Ying Tan
Erjin Zhou
VLMCLIP
210
28
0
22 Jun 2022
Previous
123456789
Next