Truly shift-invariant convolutional neural networks

28 November 2020

Papers citing "Truly shift-invariant convolutional neural networks"

43 / 43 papers shown

Title
Group Downsampling with Equivariant Anti-aliasing Md Ashiqur Rahman Raymond A. Yeh 65 1 0 24 Apr 2025
Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space Yifan Zhou Zeqi Xiao Shuai Yang Xingang Pan 64 1 0 12 Mar 2025
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning B. U. Demirel Christian Holz OOD AI4TS 72 0 0 27 Feb 2025
LoFi: Neural Local Fields for Scalable Image Reconstruction AmirEhsan Khorashadizadeh T. Liaudat Tianlin Liu Jason D. McEwen Ivan Dokmanić SupR 39 1 0 07 Nov 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal Gabriele Cesa 30 0 0 13 Sep 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
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 58 4 0 16 Jun 2024
SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation Yitao Zhao Turgay Celik Nanqing Liu Feng Gao Heng-Chao Li 30 4 0 28 May 2024
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling Sourajit Saha Tejas Gokhale 30 1 0 11 Apr 2024
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
Learning Layer-wise Equivariances Automatically using Gradients Tycho F. A. van der Ouderaa Alexander Immer Mark van der Wilk MLT 39 12 0 09 Oct 2023
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation Yunsheng Tian Jieliang Luo Yichen Li Zhengtao Zhang Hui Li 11 4 0 29 Sep 2023
Using and Abusing Equivariance Tom Edixhoven A. Lengyel J. C. V. Gemert 26 3 0 22 Aug 2023
Solving Large-scale Spatial Problems with Convolutional Neural Networks Damian Owerko Charilaos I. Kanatsoulis Alejandro Ribeiro 19 2 0 14 Jun 2023
Reviving Shift Equivariance in Vision Transformers Peijian Ding Davit Soselia Thomas Armstrong Jiahao Su Furong Huang 17 6 0 13 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 29 2 0 31 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 30 22 0 27 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 19 7 0 25 May 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations H. Michaeli T. Michaeli Daniel Soudry 19 14 0 14 Mar 2023
Aliasing is a Driver of Adversarial Attacks Adrian Rodriguez-Munoz Antonio Torralba AAML 24 0 0 22 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 24 7 0 12 Dec 2022
From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets Hubert Leterme K. Polisano V. Perrier Alahari Karteek 39 1 0 01 Dec 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim A. Schwing Minh Do Raymond A. Yeh 29 9 0 14 Oct 2022
Deep Invertible Approximation of Topologically Rich Maps between Manifolds Michael Puthawala Matti Lassas Ivan Dokmanić Pekka Pankka Maarten V. de Hoop MedIm 20 0 0 02 Oct 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 38 2 0 19 Sep 2022
Shift Variance in Scene Text Detection M. Glitzner Jan-Hendrik Neudeck Philipp Härtinger 6 0 0 19 Aug 2022
Generalization to translation shifts: a study in architectures and augmentations Suriya Gunasekar 11 1 0 05 Jul 2022
Improving generalization by mimicking the human visual diet Spandan Madan You Li Mengmi Zhang Hanspeter Pfister Gabriel Kreiman 17 2 0 15 Jun 2022
Convolutional layers are equivariant to discrete shifts but not continuous translations N. McGreivy Ammar Hakim 13 1 0 10 Jun 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances Ning Miao Tom Rainforth Emile Mathieu Yann Dubois Yee Whye Teh Adam Foster Hyunjik Kim 21 10 0 31 May 2022
Logarithmic Morphological Neural Nets robust to lighting variations Guillaume Noyel Emile Barbier--Renard M. Jourlin T. Fournel 17 1 0 20 Apr 2022
FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting Julia Grabinski Steffen Jung J. Keuper M. Keuper AAML 11 22 0 01 Apr 2022
Feature-level augmentation to improve robustness of deep neural networks to affine transformations A. Sandru Mariana-Iuliana Georgescu Radu Tudor Ionescu OOD 11 3 0 10 Feb 2022
ASAT: Adaptively Scaled Adversarial Training in Time Series Zhiyuan Zhang Wei Li Ruihan Bao Keiko Harimoto Yunfang Wu Xu Sun AI4TS 19 5 0 20 Aug 2021
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks Eduardo Fonseca Andrés Ferraro Xavier Serra AI4TS 14 9 0 01 Jul 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 58 1,559 0 23 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 19 21 0 10 Jun 2021
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling Anadi Chaman Ivan Dokmanić 9 8 0 09 May 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 11 6 0 10 Apr 2021
Shift Invariance Can Reduce Adversarial Robustness Songwei Ge Vasu Singla Ronen Basri David Jacobs AAML OOD 13 26 0 03 Mar 2021
Delving Deeper into Anti-aliasing in ConvNets Xueyan Zou Fanyi Xiao Zhiding Yu Yong Jae Lee SupR 17 102 0 21 Aug 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 202 344 0 22 Jan 2020