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 / 438 papers shown
Title
Adaptive Sampling for Continuous Group Equivariant Neural Networks
Adaptive Sampling for Continuous Group Equivariant Neural Networks
Berfin Inal
Gabriele Cesa
122
0
0
13 Sep 2024
Interpretable Convolutional SyncNet
Interpretable Convolutional SyncNet
Sungjoon Park
Jaesub Yun
Donggeon Lee
Minsik Park
255
1
0
02 Sep 2024
Frequency-aware Feature Fusion for Dense Image Prediction
Frequency-aware Feature Fusion for Dense Image PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Linwei Chen
Ying Fu
Lin Gu
Chenggang Yan
Tatsuya Harada
Gao Huang
3DV
245
121
0
23 Aug 2024
PushPull-Net: Inhibition-driven ResNet robust to image corruptions
PushPull-Net: Inhibition-driven ResNet robust to image corruptionsInternational Conference on Pattern Recognition (ICPR), 2024
Guru Swaroop Bennabhaktula
Enrique Alegre
N. Strisciuglio
George Azzopardi
249
3
0
07 Aug 2024
Don't Think It Twice: Exploit Shift Invariance for Efficient Online
  Streaming Inference of CNNs
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNsAAAI Conference on Artificial Intelligence (AAAI), 2024
Christodoulos Kechris
Jonathan Dan
Jose Miranda
David Atienza
AI4TS
196
1
0
06 Aug 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data
Many Perception Tasks are Highly Redundant Functions of their Input Data
Rahul Ramesh
Anthony Bisulco
Ronald W. DiTullio
Linran Wei
Vijay Balasubramanian
Kostas Daniilidis
Pratik Chaudhari
277
4
0
18 Jul 2024
Enhanced Model Robustness to Input Corruptions by Per-corruption
  Adaptation of Normalization Statistics
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics
Elena Camuffo
Umberto Michieli
Simone Milani
J. Moon
Mete Ozay
279
1
0
08 Jul 2024
Understanding the Role of Invariance in Transfer Learning
Understanding the Role of Invariance in Transfer Learning
Till Speicher
Vedant Nanda
Krishna P. Gummadi
SSLOOD
215
1
0
05 Jul 2024
Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis
Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis
Abdul Rehman
Sarfaraz Hussein
Waqas Sultani
140
3
0
26 Jun 2024
Benchmarking Out-of-Distribution Generalization Capabilities of
  DNN-based Encoding Models for the Ventral Visual Cortex
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex
Spandan Madan
Will Xiao
Mingran Cao
Hanspeter Pfister
Margaret Livingstone
Gabriel Kreiman
OOD
176
4
0
16 Jun 2024
Beware of Aliases -- Signal Preservation is Crucial for Robust Image
  Restoration
Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
Shashank Agnihotri
Julia Grabinski
Janis Keuper
Margret Keuper
149
8
0
11 Jun 2024
Block-As-Domain Adaptation for Workload Prediction from fNIRS Data
Block-As-Domain Adaptation for Workload Prediction from fNIRS Data
Jiyang Wang
Ayse Altay
Senem Velipasalar
141
1
0
30 Apr 2024
VideoGigaGAN: Towards Detail-rich Video Super-Resolution
VideoGigaGAN: Towards Detail-rich Video Super-Resolution
Yiran Xu
Taesung Park
Richard Zhang
Yang Zhou
Eli Shechtman
Feng Liu
Jia-Bin Huang
Difan Liu
SupR
263
24
0
18 Apr 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random
  Hierarchy Model
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto M. Tomasini
Matthieu Wyart
BDL
315
7
0
16 Apr 2024
Improving Shift Invariance in Convolutional Neural Networks with
  Translation Invariant Polyphase Sampling
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase SamplingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Sourajit Saha
Tejas Gokhale
212
4
0
11 Apr 2024
What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel
  Energy Normalisation (PCEN) to Noisy Conditions
What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy ConditionsInterspeech (Interspeech), 2023
Hanyu Meng
V. Sethu
E. Ambikairajah
222
3
0
10 Apr 2024
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single
  Video
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video
Narek Tumanyan
Assaf Singer
Shai Bagon
Tali Dekel
MQ
225
53
0
21 Mar 2024
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images
Elena Camuffo
Umberto Michieli
J. Moon
Daehyun Kim
Mete Ozay
253
2
0
21 Mar 2024
FouriScale: A Frequency Perspective on Training-Free High-Resolution
  Image Synthesis
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis
Linjiang Huang
Rongyao Fang
Aiping Zhang
Guanglu Song
Si Liu
Yu Liu
Hongsheng Li
DiffM
192
49
0
19 Mar 2024
CoPlay: Audio-agnostic Cognitive Scaling for Acoustic Sensing
CoPlay: Audio-agnostic Cognitive Scaling for Acoustic Sensing
Yin Li
Rajalakshmi Nandakumar
Rajalakshmi Nanadakumar
172
0
0
16 Mar 2024
When Semantic Segmentation Meets Frequency Aliasing
When Semantic Segmentation Meets Frequency AliasingInternational Conference on Learning Representations (ICLR), 2024
Linwei Chen
Lin Gu
Ying Fu
310
13
0
14 Mar 2024
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Frequency-Adaptive Dilated Convolution for Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2024
Linwei Chen
Lin Gu
Ying Fu
515
69
0
08 Mar 2024
Gadolinium dose reduction for brain MRI using conditional deep learning
Gadolinium dose reduction for brain MRI using conditional deep learning
Thomas Pinetz
Erich Kobler
Robert Haase
Julian A. Luetkens
M. Meetschen
Johannes Haubold
Cornelius Deuschl
A. Radbruch
Katerina Deike
Alexander Effland
MedIm
106
4
0
06 Mar 2024
CAPTURE-24: A large dataset of wrist-worn activity tracker data
  collected in the wild for human activity recognition
CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
Shing Chan
Hang Yuan
Catherine Tong
Aidan Acquah
Abram Schonfeldt
Jonathan Gershuny
Aiden Doherty
192
27
0
29 Feb 2024
Modality-Agnostic Structural Image Representation Learning for
  Deformable Multi-Modality Medical Image Registration
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
Tony C. W. Mok
Zi Li
Yunhao Bai
Jianpeng Zhang
Wei Liu
...
D. Jin
Yu Shi
Xiaoli Yin
Le Lu
Ling Zhang
136
13
0
29 Feb 2024
Misalignment-Robust Frequency Distribution Loss for Image Transformation
Misalignment-Robust Frequency Distribution Loss for Image Transformation
Zhangkai Ni
Juncheng Wu
Zian Wang
Wenhan Yang
Hanli Wang
Lin Ma
138
10
0
28 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at
  Larger Scales
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Shuren Qi
Yushu Zhang
Chao Wang
Zhihua Xia
Xiaochun Cao
Jian Weng
184
1
0
23 Feb 2024
Fiducial Focus Augmentation for Facial Landmark Detection
Fiducial Focus Augmentation for Facial Landmark Detection
P. Kar
Vishal M. Chudasama
N. Onoe
Pankaj Wasnik
Vineeth N. Balasubramanian
ViT
164
4
0
23 Feb 2024
WindDragon: Enhancing wind power forecasting with Automated Deep
  Learning
WindDragon: Enhancing wind power forecasting with Automated Deep Learning
Julie Keisler
E. L. Naour
111
2
0
22 Feb 2024
Unsupervised Discovery of Object-Centric Neural Fields
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo
Hong-Xing Yu
Jiajun Wu
3DPCOCL
339
7
0
12 Feb 2024
NOAH: Learning Pairwise Object Category Attentions for Image
  Classification
NOAH: Learning Pairwise Object Category Attentions for Image Classification
Chao Li
Aojun Zhou
Anbang Yao
VLM
182
2
0
04 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Blaise Delattre
Quentin Barthélemy
Alexandre Allauzen
262
2
0
31 Jan 2024
Combined Generative and Predictive Modeling for Speech Super-resolution
Combined Generative and Predictive Modeling for Speech Super-resolutionComputer Speech and Language (CSL), 2024
Heming Wang
Eric W. Healy
DeLiang Wang
DiffM
188
3
0
25 Jan 2024
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned
  image coding for machines
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines
Jukka I. Ahonen
Nam Le
Honglei Zhang
A. Hallapuro
Francesco Cricri
Hamed R. Tavakoli
M. Hannuksela
Esa Rahtu
137
2
0
19 Jan 2024
Bridging the gap between image coding for machines and humans
Bridging the gap between image coding for machines and humans
Nam Le
Honglei Zhang
Francesco Cricri
Ramin Ghaznavi-Youvalari
Hamed R. Tavakoli
Emre B. Aksu
M. Hannuksela
Esa Rahtu
251
6
0
19 Jan 2024
3D Scene Geometry Estimation from 360$^\circ$ Imagery: A Survey
3D Scene Geometry Estimation from 360∘^\circ∘ Imagery: A SurveyACM Computing Surveys (ACM CSUR), 2022
T. L. T. D. Silveira
Paulo G. L. Pinto
Jeffri Murrugarra-Llerena
C. R. Jung
MDE
224
47
0
17 Jan 2024
Hybrid of DiffStride and Spectral Pooling in Convolutional Neural
  Networks
Hybrid of DiffStride and Spectral Pooling in Convolutional Neural NetworksInternational Conference on Sustainable Information Engineering and Technology (ICSIET), 2023
Sulthan Rafif
Mochamad Arfan Ravy Wahyu Pratama
Mohammad Faris Azhar
Ahmad Mustafidul Ibad
L. Muflikhah
N. Yudistira
100
1
0
17 Jan 2024
Domain Generalization with Vital Phase Augmentation
Domain Generalization with Vital Phase Augmentation
Ingyun Lee
Wooju Lee
Hyun Myung
OOD
233
8
0
27 Dec 2023
Layerwise complexity-matched learning yields an improved model of
  cortical area V2
Layerwise complexity-matched learning yields an improved model of cortical area V2
Nikhil Parthasarathy
Olivier J. Hénaff
Eero P. Simoncelli
221
1
0
18 Dec 2023
Complementary Benefits of Contrastive Learning and Self-Training Under
  Distribution Shift
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg
Amrith Rajagopal Setlur
Zachary Chase Lipton
Sivaraman Balakrishnan
Virginia Smith
Aditi Raghunathan
SSL
183
10
0
06 Dec 2023
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D
  Scene Generation
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene GenerationComputer Vision and Pattern Recognition (CVPR), 2023
Qihang Zhang
Yinghao Xu
Yujun Shen
Bo Dai
Bolei Zhou
Ceyuan Yang
195
6
0
04 Dec 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial ContextEuropean Conference on Computer Vision (ECCV), 2023
Shashank Agnihotri
Julia Grabinski
Margret Keuper
274
12
0
29 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyInternational Conference on Machine Learning (ICML), 2023
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
CLIP
318
24
0
15 Nov 2023
A Unified Approach for Comprehensive Analysis of Various Spectral and
  Tissue Doppler Echocardiography
A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler EchocardiographyIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Jaeik Jeon
Jiyeon Kim
Yeonggul Jang
Y. Yoon
D. Jeong
Youngtaek Hong
Seung-Ah Lee
Hyuk-Jae Chang
97
2
0
14 Nov 2023
$L_0$-Sampler: An $L_{0}$ Model Guided Volume Sampling for NeRF
L0L_0L0​-Sampler: An L0L_{0}L0​ Model Guided Volume Sampling for NeRFComputer Vision and Pattern Recognition (CVPR), 2023
Liangchen Li
Juyong Zhang
168
4
0
13 Nov 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers
Truly Scale-Equivariant Deep Nets with Fourier LayersNeural Information Processing Systems (NeurIPS), 2023
Md Ashiqur Rahman
Raymond A. Yeh
189
14
0
06 Nov 2023
The Importance of Anti-Aliasing in Tiny Object Detection
The Importance of Anti-Aliasing in Tiny Object DetectionAsian Conference on Machine Learning (ACML), 2023
Jinlai Ning
Michael W. Spratling
224
10
0
22 Oct 2023
Deep Learning Approaches for Dynamic Mechanical Analysis of Viscoelastic
  Fiber Composites
Deep Learning Approaches for Dynamic Mechanical Analysis of Viscoelastic Fiber Composites
Victor Hoffmann
Ilias Nahmed
Parisa Rastin
Guénaël Cabanes
Julien Boisse
AI4CE
76
0
0
20 Oct 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ping Wang
Ming-Ming Cheng
ObjD
213
8
0
20 Oct 2023
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNetsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhicheng Cai
Xiaohan Ding
Qiu Shen
Xun Cao
174
27
0
16 Oct 2023
Previous
123456789
Next