Learning Steerable Filters for Rotation Equivariant CNNs

20 November 2017

Papers citing "Learning Steerable Filters for Rotation Equivariant CNNs"

50 / 116 papers shown

Title
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Fuyao Chen Yuexi Du Tal Zeevi Nicha Dvornek John Onofrey 28 0 0 08 May 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning Sahar Dastani Ali Bahri Moslem Yazdanpanah Mehrdad Noori David Osowiechi ... Farzad Beizaee Milad Cheraghalikhani A. Mondal H. Lombaert Christian Desrosiers 64 0 0 09 Mar 2025
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong Wenhao Yu Tao Zhang 67 0 0 03 Nov 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 55 2 0 23 Oct 2024
Molecule Graph Networks with Many-body Equivariant Interactions Zetian Mao Jiawen Li Chen Liang Diptesh Das Masato Sumita Koji Tsuda Kelin Xia Koji Tsuda 40 1 0 19 Jun 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 42 1 0 24 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 50 4 0 17 Mar 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 43 0 0 23 Feb 2024
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 27 34 0 12 Oct 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 42 8 0 29 May 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 29 6 0 26 May 2023
WinDB: HMD-free and Distortion-free Panoptic Video Fixation Learning Guotao Wang Chenglizhao Chen Aimin Hao Hong Qin Deng-Ping Fan 35 0 0 23 May 2023
Rotation-Scale Equivariant Steerable Filters Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 30 3 0 10 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 26 7 0 05 Apr 2023
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 16 23 0 25 Mar 2023
Optimization Dynamics of Equivariant and Augmented Neural Networks Axel Flinth F. Ohlsson 46 5 0 23 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 35 96 0 20 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks Yusuke Mukuta Tatsuya Harada SSL 35 0 0 08 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 18 4 0 02 Mar 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 89 9 0 21 Feb 2023
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 42 6 0 12 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 29 7 0 12 Dec 2022
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields Rohith Agaram Shaurya Dewan Rahul Sajnani A. Poulenard Madhava Krishna Srinath Sridhar 41 6 0 05 Dec 2022
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network Hanlin Mo Guoying Zhao 24 30 0 21 Nov 2022
Permutation-Invariant Tabular Data Synthesis Yujin Zhu Zilong Zhao Robert Birke L. Chen 31 2 0 17 Nov 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 56 17 0 24 Oct 2022
ReAFFPN: Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object Detection Chongyu Sun Yang Xu Zebin Wu Zhihui Wei 20 4 0 17 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 51 8 0 07 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 32 12 0 03 Oct 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments Jaspreet Singh Chandan Singh 27 5 0 22 Sep 2022
SELTO: Sample-Efficient Learned Topology Optimization Sören Dittmer David Erzmann Henrik Harms Peter Maass 35 2 0 12 Sep 2022
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval Yilan Zhang Feng-ying Xie Xuedong Song Hangning Zhou Yiguang Yang Haopeng Zhang Jie Liu OOD 16 9 0 01 Aug 2022
Fast expansion into harmonics on the disk: a steerable basis with fast radial convolutions Nicholas F. Marshall Oscar Mickelin A. Singer 30 8 0 27 Jul 2022
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis Damien Ferbach Christos Tsirigotis Gauthier Gidel Avishek A. Bose 40 16 0 09 Jun 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection Jongmin Lee Byung-soo Kim Minsu Cho 3DPC 37 35 0 19 Apr 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space Evangelos Chatzipantazis Stefanos Pertigkiozoglou Yan Sun Kostas Daniilidis 3DPC 39 30 0 05 Apr 2022
3D Equivariant Graph Implicit Functions Yunlu Chen Basura Fernando Hakan Bilen Matthias Nießner E. Gavves 3DPC 27 23 0 31 Mar 2022
NPBG++: Accelerating Neural Point-Based Graphics Ruslan Rakhimov Andrei-Timotei Ardelean Victor Lempitsky Evgeny Burnaev 24 11 0 24 Mar 2022
Similarity Equivariant Linear Transformation of Joint Orientation-Scale Space Representations Xinhua Zhang L. Williams 29 2 0 13 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 25 6 0 22 Feb 2022
Equivariant Graph Attention Networks for Molecular Property Prediction Tuan Le Frank Noé Djork-Arné Clevert 16 21 0 20 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 28 41 0 15 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 33 12 0 02 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 26 19 0 30 Nov 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 27 8 0 22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
Enabling equivariance for arbitrary Lie groups L. MacDonald Sameera Ramasinghe Simon Lucey AAML 27 25 0 16 Nov 2021