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

16 March 2020

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

50 / 135 papers shown

Title
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 54 0 0 24 Mar 2025
Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields Anran Xu L. Heagy 47 0 0 21 Mar 2025
Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space Yifan Zhou Zeqi Xiao Shuai Yang Xingang Pan 62 1 0 12 Mar 2025
Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning Raphael Trumpp Ansgar Schäfftlein Mirco Theile Marco Caccamo 34 0 0 07 Mar 2025
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 88 0 0 15 Oct 2024
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks Rujia Shen Boran Wang Chao Zhao Yi Guan Jingchi Jiang CML BDL AI4TS 30 0 0 15 Aug 2024
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs Christodoulos Kechris Jonathan Dan Jose Miranda David Atienza AI4TS 27 0 0 06 Aug 2024
PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition Y. Hao Diansong Zhou Zhicai Wang Chong-Wah Ngo Meng Wang ViT 26 4 0 03 Jul 2024
CSTA: CNN-based Spatiotemporal Attention for Video Summarization Jaewon Son Jaehun Park Kwangsu Kim AI4TS ViT 27 8 0 20 May 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model Umberto M. Tomasini M. Wyart BDL 19 7 0 16 Apr 2024
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 19 5 0 27 Mar 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings Blaise Delattre Quentin Barthélemy Alexandre Allauzen 23 2 0 31 Jan 2024
CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks S. Howard P. Norreys Andreas Döpp 15 1 0 09 Jan 2024
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation Qihang Zhang Yinghao Xu Yujun Shen Bo Dai Bolei Zhou Ceyuan Yang 27 4 0 04 Dec 2023
Spatially Covariant Image Registration with Text Prompts Xiang Chen Min Liu Rongguang Wang Renjiu Hu Dongdong Liu Gaolei Li Hang Zhang MedIm 35 9 0 27 Nov 2023
SparseLock: Securing Neural Network Models in Deep Learning Accelerators Nivedita Shrivastava S. Sarangi AAML 20 1 0 05 Nov 2023
Color Equivariant Convolutional Networks A. Lengyel Ombretta Strafforello Robert-Jan Bruintjes Alexander Gielisse J. C. V. Gemert 11 4 0 30 Oct 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection Zhaohui Zheng Yuming Chen Qibin Hou Xiang Li Ping Wang Ming-Ming Cheng ObjD 24 3 0 20 Oct 2023
Fire Detection From Image and Video Using YOLOv5 Arafat Islam Md. Imtiaz Habib ObjD DRL 17 4 0 10 Oct 2023
Padding Aware Neurons Dario Garcia-Gasulla Víctor Giménez-Ábalos Pablo A. Martin-Torres VLM FAtt KELM 11 0 0 14 Sep 2023
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels Kuangdai Leng Jeyan Thiyagalingam 25 2 0 12 Sep 2023
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato S. Mougiakakou 19 3 0 04 Sep 2023
Using and Abusing Equivariance Tom Edixhoven A. Lengyel J. C. V. Gemert 24 3 0 22 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov J. Keuper AAML 21 3 0 12 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks Blerta Lindqvist AAML 35 0 0 10 Aug 2023
Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning Zhixiong Han Baicheng Liu Shao-Bo Lin Ding-Xuan Zhou 14 4 0 30 Jul 2023
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression Wei Jiang Jiayu Yang Yongqi Zhai Feng Gao Ronggang Wang 35 32 0 28 Jul 2023
Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding Kensuke Mukai Takao Yamanaka 36 0 0 15 Jul 2023
Solving Large-scale Spatial Problems with Convolutional Neural Networks Damian Owerko Charilaos I. Kanatsoulis Alejandro Ribeiro 14 2 0 14 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 19 2 0 31 May 2023
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 J. C. V. Gemert 10 9 0 31 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 28 22 0 27 May 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 16 2 0 17 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz K. Zhang Pulkit Agrawal 35 15 0 27 Apr 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance Jonathan Crabbé M. Schaar AAML 11 6 0 13 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka J. C. V. Gemert 13 7 0 05 Apr 2023
DeDA: Deep Directed Accumulator Hang Zhang Rongguang Wang Renjiu Hu Jinwei Zhang Jiahao Nick Li MedIm 19 4 0 15 Mar 2023
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer Samir Mitha S. Choe P. Maralani A. Moody A. Khademi 11 0 0 11 Mar 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 49 5 0 03 Feb 2023
Hyperbolic Contrastive Learning Yun Yue Fangzhou Lin Kazunori D Yamada Ziming Zhang SSL 25 18 0 02 Feb 2023
Spatially Covariant Lesion Segmentation Hang Zhang Rongguang Wang Jinwei Zhang Dongdong Liu Chao Li Jiahao Nick Li MedIm 29 7 0 19 Jan 2023
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation Trong-Hieu Nguyen-Mau Quoc-Huy Trinh Nhat-Tan Bui M. Tran Hai-Dang Nguyen MedIm 17 8 0 17 Jan 2023
RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning K. Liao Lang Nie Chunyu Lin Zishuo Zheng Yao Zhao 36 11 0 04 Jan 2023
Image Classification with Small Datasets: Overview and Benchmark Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler VLM 12 17 0 23 Dec 2022
From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets Hubert Leterme K. Polisano V. Perrier Alahari Karteek 31 1 0 01 Dec 2022
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks Thomas Altstidl A. Nguyen Leo Schwinn Franz Koferl Christopher Mutschler Björn Eskofier Dario Zanca 15 2 0 18 Nov 2022
Permutation-Invariant Tabular Data Synthesis Yujin Zhu Zilong Zhao Robert Birke L. Chen 12 2 0 17 Nov 2022
ParCNetV2: Oversized Kernel with Enhanced Attention Ruihan Xu Haokui Zhang Wenze Hu Shiliang Zhang Xiaoyu Wang ViT 17 6 0 14 Nov 2022
The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim Q. Garrido Ari S. Morcos Diane Bouchacourt VLM 25 16 0 24 Oct 2022
Symmetry Defense Against CNN Adversarial Perturbation Attacks Blerta Lindqvist AAML 25 2 0 08 Oct 2022