Oriented Response Networks

7 January 2017

Papers citing "Oriented Response Networks"

50 / 59 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 69 0 0 09 Mar 2025
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification Yuexi Du Jiazhen Zhang Tal Zeevi Nicha Dvornek J. Onofrey 61 1 0 17 Jan 2025
Analytic Convolutional Layer: A Step to Analytic Neural Network Jingmao Cui Donglai Tao Linmi Tao Ruiyang Liu Yu Cheng 31 0 0 03 Jul 2024
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 23 1 0 13 Nov 2023
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds Jingkai Yan Shiyu Wang Xinyu Rain Wei Jimmy Wang Z. Márka S. Márka John N. Wright 24 1 0 16 Oct 2023
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
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 16 23 0 25 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 27 6 0 01 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
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network Hanlin Mo Guoying Zhao 27 30 0 21 Nov 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 20 35 0 06 Oct 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
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 34 16 0 14 Jul 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection Jongmin Lee Byung-soo Kim Minsu Cho 3DPC 37 35 0 19 Apr 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 21 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 31 17 0 24 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 27 6 0 22 Feb 2022
OneDConv: Generalized Convolution For Transform-Invariant Representation Tong Zhang Haohan Weng Ke Yi Chong Chen 24 0 0 15 Jan 2022
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 24 53 0 02 Dec 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 27 8 0 22 Nov 2021
Deep Learning for UAV-based Object Detection and Tracking: A Survey Chao Xu Wei Li Danfeng Hong R. Tao Yong Liu 29 182 0 25 Oct 2021
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection Steven Lang Fabrizio G. Ventola Kristian Kersting 34 14 0 13 Sep 2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions Qi Xie Qian Zhao Zongben Xu Deyu Meng 27 19 0 30 Jul 2021
Plot2Spectra: an Automatic Spectra Extraction Tool Weixin Jiang Eric S. Schwenker Trevor Spreadbury Kai Li Maria K. Y. Chan O. Cossairt 11 2 0 06 Jul 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
Rotation invariant CNN using scattering transform for image classification Rosemberg Rodriguez Eva Dokládalová P. Dokládal 22 16 0 21 May 2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection Jiaming Han Jian Ding Nan Xue Guisong Xia 32 520 0 13 Mar 2021
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 29 13 0 21 Oct 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen Lingshen He Zhouchen Lin Jinwen Ma 11 44 0 20 Jul 2020
Text Detection and Recognition in the Wild: A Review Z. Raisi Mohamed A. Naiel Paul Fieguth Steven Wardell John S. Zelek 37 35 0 08 Jun 2020
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images Zhihao Duan M. Tezcan Hayato Nakamura Prakash Ishwar Janusz Konrad ObjD 32 56 0 23 May 2020
Dynamic Refinement Network for Oriented and Densely Packed Object Detection Xingjia Pan Yuqiang Ren Kekai Sheng Weiming Dong Haolei Yuan Xiao-Wei Guo Chongyang Ma Changsheng Xu ObjD 30 273 0 20 May 2020
A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box Linhao Li Z. Zhou Bo-tao Wang Lingjuan Miao Hua Zong 28 74 0 15 Apr 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 24 88 0 06 Apr 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 213 233 0 16 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 30 317 0 25 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 27 74 0 20 Feb 2020
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 25 4 0 31 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 35 129 0 26 Sep 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 28 42 0 26 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 27 24 0 31 Mar 2019
Rotated Feature Network for multi-orientation object detection Zhixin Zhang Xudong Chen Jie Liu Kaibo Zhou ObjD 20 8 0 23 Mar 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 19 69 0 25 Jan 2019
Scene Text Detection and Recognition: The Deep Learning Era Shangbang Long Xin He Cong Yao VLM 44 390 0 10 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 310 0 05 Nov 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 77 2,427 0 06 Sep 2018
Towards a Better Match in Siamese Network Based Visual Object Tracker Anfeng He Chong Luo Xinmei Tian Wenjun Zeng 25 56 0 05 Sep 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 30 43 0 17 May 2018