Rotation equivariant vector field networks

29 December 2016

Papers citing "Rotation equivariant vector field networks"

50 / 56 papers shown

Title
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Fuyao Chen Yuexi Du Tal Zeevi Nicha Dvornek John Onofrey 23 0 0 08 May 2025
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong W. Yu Tao Zhang 57 0 0 03 Nov 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 30 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 38 4 0 17 Mar 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 37 0 0 23 Feb 2024
Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction Yuping Wang Jier Chen 26 3 0 21 Oct 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 35 2 0 31 May 2023
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 16 23 0 25 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 30 96 0 20 Mar 2023
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images Nanqing Liu Xun Xu Turgay Celik Zongxin Gan Hengchao Li 32 26 0 13 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks Yusuke Mukuta Tatsuya Harada SSL 30 0 0 08 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 8 0 21 Feb 2023
Learning unfolded networks with a cyclic group structure Emmanouil Theodosis Demba E. Ba 14 0 0 16 Nov 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 16 34 0 06 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 18 3 0 24 Sep 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 36 17 0 08 Jun 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection Jongmin Lee Byung-soo Kim Minsu Cho 3DPC 18 35 0 19 Apr 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning Ahyun Seo Byungjin Kim Suha Kwak Minsu Cho 14 15 0 31 Mar 2022
A Principled Design of Image Representation: Towards Forensic Tasks Shuren Qi Yushu Zhang Chao Wang Jiantao Zhou Xiaochun Cao 16 17 0 02 Mar 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 16 2 0 25 Feb 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 23 17 0 24 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 17 5 0 22 Feb 2022
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 23 12 0 02 Dec 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 17 8 0 22 Nov 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 76 185 0 19 Apr 2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection Jiaming Han Jian Ding Nan Xue Guisong Xia 19 518 0 13 Mar 2021
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning Axel Barroso Laguna Yannick Verdié Benjamin Busam K. Mikolajczyk 19 18 0 12 May 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 16 87 0 06 Apr 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
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 16 74 0 20 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 89 0 07 Feb 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 20 88 0 27 Dec 2019
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods Luca Della Libera Vladimir Golkov Yue Zhu Arman Mielke Daniel Cremers 3DH 3DPC 17 4 0 31 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 18 129 0 26 Sep 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos S. S. Mondal R. Sathish Debdoot Sheet 25 17 0 20 May 2019
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data A. Kofler M. Dewey T. Schaeffter Christian Wald C. Kolbitsch 3DPC 21 74 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 19 24 0 31 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 38 402 0 11 Feb 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 17 68 0 25 Jan 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 156 308 0 05 Nov 2018
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 22 40 0 04 Oct 2018
A rotation-equivariant convolutional neural network model of primary visual cortex Alexander S. Ecker Fabian H. Sinz E. Froudarakis Paul G. Fahey Santiago A. Cadena Edgar Y. Walker Erick Cobos Jacob Reimer A. Tolias Matthias Bethge 14 53 0 27 Sep 2018
Faster RER-CNN: application to the detection of vehicles in aerial images Jean Ogier du Terrail F. Jurie ObjD 11 28 0 20 Sep 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 24 494 0 06 Jul 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 14 203 0 26 Apr 2018
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models Diego Marcos Michele Volpi B. Kellenberger D. Tuia 23 235 0 16 Mar 2018