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On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
v1v2 (latest)

On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

Computer Vision and Pattern Recognition (CVPR), 2020
16 March 2020
O. Kayhan
Jan van Gemert
ArXiv (abs)PDFHTML

Papers citing "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location"

50 / 144 papers shown
DNA: Dual-branch Network with Adaptation for Open-Set Online Handwriting Generation
DNA: Dual-branch Network with Adaptation for Open-Set Online Handwriting Generation
Tsai-Ling Huang
Nhat-Tuong Do-Tran
Ngoc-Hoang-Lam Le
Hong-Han Shuai
Ching-Chun Huang
111
0
0
27 Nov 2025
UI-Styler: Ultrasound Image Style Transfer with Class-Aware Prompts for Cross-Device Diagnosis Using a Frozen Black-Box Inference Network
UI-Styler: Ultrasound Image Style Transfer with Class-Aware Prompts for Cross-Device Diagnosis Using a Frozen Black-Box Inference Network
Nhat-Tuong Do-Tran
Ngoc-Hoang-Lam Le
Ching-Chun Huang
190
0
0
21 Nov 2025
Probing the Probes: Methods and Metrics for Concept Alignment
Probing the Probes: Methods and Metrics for Concept Alignment
Jacob Lysnæs-Larsen
Marte Eggen
Inga Strümke
LLMSV
246
0
0
06 Nov 2025
Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing
Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing
Amin Jalali
Milad Soltany
Michael A. Greenspan
Ali Etemad
AI4TS
143
0
0
02 Oct 2025
MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation
MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation
Xinyu Liu
Guolei Sun
Cheng Wang
Yixuan Yuan
Ender Konukoglu
MedIm
149
1
0
25 Sep 2025
Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
Ryan Ramos
Vladan Stojnić
Giorgos Kordopatis-Zilos
Yuta Nakashima
Giorgos Tolias
Noa Garcia
229
3
0
14 Aug 2025
Representation Understanding via Activation Maximization
Representation Understanding via Activation Maximization
Hongbo Zhu
Angelo Cangelosi
FAtt
177
1
0
10 Aug 2025
Deep learning of geometrical cell division rules
Deep learning of geometrical cell division rules
Alexandre Durrmeyer
Jean-Christophe Palauqui
Philippe Andrey
129
1
0
30 Jul 2025
Learning to Adapt to Position Bias in Vision Transformer Classifiers
Learning to Adapt to Position Bias in Vision Transformer Classifiers
Robert-Jan Bruintjes
Jan van Gemert
387
0
0
19 May 2025
LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images
LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images
Fiseha B. Tesema
Alejandro Guerra Manzanares
Tianxiang Cui
Qian Zhang
Moses Solomon
Sean He
238
5
0
24 Mar 2025
Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields
Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural FieldsIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Anran Xu
L. Heagy
438
4
0
21 Mar 2025
Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space
Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent SpaceComputer Vision and Pattern Recognition (CVPR), 2025
Yifan Zhou
Zeqi Xiao
Shuai Yang
Xingang Pan
630
16
0
12 Mar 2025
Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning
Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning
Raphael Trumpp
Ansgar Schäfftlein
Mirco Theile
Marco Caccamo
326
3
0
07 Mar 2025
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detectionComputer Vision and Pattern Recognition (CVPR), 2024
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
1.1K
5
0
15 Oct 2024
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
DAPE V2: Process Attention Score as Feature Map for Length ExtrapolationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Chuanyang Zheng
Yihang Gao
Han Shi
Jing Xiong
Jiankai Sun
...
Xiaozhe Ren
Michael Ng
Xin Jiang
Zhenguo Li
Yu Li
417
12
0
07 Oct 2024
Causal Discovery from Time-Series Data with Short-Term Invariance-Based
  Convolutional Neural Networks
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks
Rujia Shen
Boran Wang
Chao Zhao
Yi Guan
Jingchi Jiang
CMLBDLAI4TS
279
1
0
15 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
396
1
0
06 Aug 2024
PosMLP-Video: Spatial and Temporal Relative Position Encoding for
  Efficient Video Recognition
PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition
Y. Hao
Diansong Zhou
Zhicai Wang
Chong-Wah Ngo
Meng Wang
ViT
301
14
0
03 Jul 2024
CSTA: CNN-based Spatiotemporal Attention for Video Summarization
CSTA: CNN-based Spatiotemporal Attention for Video Summarization
Jaewon Son
Jaehun Park
Kwangsu Kim
AI4TSViT
389
28
0
20 May 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
465
7
0
16 Apr 2024
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific
  Boundaries for Domain Adaptation
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
Ba-Hung Ngo
Nhat-Tuong Do-Tran
Tuan-Ngoc Nguyen
Hae-Gon Jeon
Tae Jong Choi
380
29
0
27 Mar 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
410
3
0
31 Jan 2024
CoordGate: Efficiently Computing Spatially-Varying Convolutions in
  Convolutional Neural Networks
CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural NetworksBritish Machine Vision Conference (BMVC), 2024
S. Howard
P. Norreys
Andreas Döpp
271
5
0
09 Jan 2024
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
299
6
0
04 Dec 2023
Spatially Covariant Image Registration with Text Prompts
Spatially Covariant Image Registration with Text PromptsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Xiang Chen
Min Liu
Rongguang Wang
Renjiu Hu
Dongdong Liu
Gaolei Li
Hang Zhang
MedIm
374
24
0
27 Nov 2023
SparseLock: Securing Neural Network Models in Deep Learning Accelerators
SparseLock: Securing Neural Network Models in Deep Learning Accelerators
Nivedita Shrivastava
S. Sarangi
AAML
288
3
0
05 Nov 2023
Color Equivariant Convolutional Networks
Color Equivariant Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2023
A. Lengyel
Ombretta Strafforello
Robert-Jan Bruintjes
Alexander Gielisse
Jan van Gemert
273
9
0
30 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
354
10
0
20 Oct 2023
Fire Detection From Image and Video Using YOLOv5
Fire Detection From Image and Video Using YOLOv5
Arafat Islam
Md. Imtiaz Habib
ObjDDRL
132
8
0
10 Oct 2023
Padding Aware Neurons
Padding Aware Neurons
Dario Garcia-Gasulla
Victor Gimenez-Abalos
Pablo A. Martin-Torres
VLMFAttKELM
234
0
0
14 Sep 2023
Padding-free Convolution based on Preservation of Differential
  Characteristics of Kernels
Padding-free Convolution based on Preservation of Differential Characteristics of KernelsInternational Conference on Machine Learning and Applications (ICMLA), 2023
Kuangdai Leng
Jeyan Thiyagalingam
261
3
0
12 Sep 2023
No Data Augmentation? Alternative Regularizations for Effective Training
  on Small Datasets
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
Lorenzo Brigato
Stavroula Mougiakakou
256
5
0
04 Sep 2023
Using and Abusing Equivariance
Using and Abusing Equivariance
Tom Edixhoven
A. Lengyel
Jan van Gemert
237
4
0
22 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness
On the Interplay of Convolutional Padding and Adversarial Robustness
Paul Gavrikov
J. Keuper
AAML
383
4
0
12 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
Blerta Lindqvist
AAML
177
0
0
10 Aug 2023
Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction
  and Learning
Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning
Zhixiong Han
Baichen Liu
Shao-Bo Lin
Ding-Xuan Zhou
236
6
0
30 Jul 2023
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned
  Image Compression
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Wei Jiang
Jiayu Yang
Yongqi Zhai
Feng Gao
Ronggang Wang
1.1K
81
0
28 Jul 2023
Improving Translation Invariance in Convolutional Neural Networks with
  Peripheral Prediction Padding
Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction PaddingInternational Conference on Information Photonics (ICIP), 2023
Kensuke Mukai
Takao Yamanaka
321
1
0
15 Jul 2023
Solving Large-scale Spatial Problems with Convolutional Neural Networks
Solving Large-scale Spatial Problems with Convolutional Neural NetworksAsilomar Conference on Signals, Systems and Computers (ACSSC), 2023
Damian Owerko
Charilaos I. Kanatsoulis
Alejandro Ribeiro
354
3
0
14 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
354
3
0
31 May 2023
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes
A. Lengyel
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
Jan van Gemert
226
9
0
31 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Approximation-Generalization Trade-offs under (Approximate) Group EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Mircea Petrache
Shubhendu Trivedi
421
42
0
27 May 2023
Infinite Class Mixup
Infinite Class MixupBritish Machine Vision Conference (BMVC), 2023
Thomas Mensink
Pascal Mettes
346
3
0
17 May 2023
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive ApproachInternational Conference on Learning Representations (ICLR), 2023
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Jianchao Tan
Pulkit Agrawal
298
21
0
27 Apr 2023
Evaluating the Robustness of Interpretability Methods through
  Explanation Invariance and Equivariance
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Jonathan Crabbé
M. Schaar
AAML
356
16
0
13 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models?
What Affects Learned Equivariance in Deep Image Recognition Models?
Robert-Jan Bruintjes
Tomasz Motyka
Jan van Gemert
390
14
0
05 Apr 2023
DeDA: Deep Directed Accumulator
DeDA: Deep Directed AccumulatorInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Hang Zhang
Rongguang Wang
Renjiu Hu
Jinwei Zhang
Jiahao Nick Li
MedIm
213
5
0
15 Mar 2023
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer
Samir Mitha
S. Choe
P. Maralani
A. Moody
A. Khademi
186
1
0
11 Mar 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in
  Image Classification
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Gorka Abad
Jing Xu
Stefanos Koffas
Behrad Tajalli
S. Picek
Mauro Conti
AAML
450
9
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03 Feb 2023
Hyperbolic Contrastive Learning
Hyperbolic Contrastive Learning
Yun Yue
Fangzhou Lin
Kazunori D Yamada
Ziming Zhang
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393
23
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123
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