Learning rotation invariant convolutional filters for texture classification

22 April 2016

Papers citing "Learning rotation invariant convolutional filters for texture classification"

27 / 27 papers shown

Title
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
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 31 7 0 12 Dec 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 23 3 0 24 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
Symmetry Structured Convolutional Neural Networks K. D. G. Maduranga Vasily Zadorozhnyy Qiang Ye 21 3 0 03 Mar 2022
Deep Learning for UAV-based Object Detection and Tracking: A Survey Chao Xu Wei Li Danfeng Hong R. Tao Yong Liu 34 182 0 25 Oct 2021
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training Valerio Biscione J. Bowers 56 13 0 04 Oct 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 35 4 0 31 Aug 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
Latent Causal Invariant Model Xinwei Sun Botong Wu Xiangyu Zheng Chang-Shu Liu Wei Chen Tao Qin Tie-Yan Liu OOD CML BDL 31 14 0 04 Nov 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers Jinpyo Kim Wookeun Jung Hyungmo Kim Jaejin Lee 11 31 0 21 Jul 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 28 69 0 02 Jun 2020
Learning Test-time Augmentation for Content-based Image Retrieval Osman Tursun Simon Denman Sridha Sridharan Clinton Fookes 24 6 0 05 Feb 2020
Histogram Layers for Texture Analysis Joshua Peeples Weihuang Xu A. Zare 19 49 0 01 Jan 2020
LGN-CNN: a biologically inspired CNN architecture F. Bertoni G. Citti A. Sarti 22 22 0 14 Nov 2019
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 35 3 0 21 Aug 2018
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators S. Lo M. Freedman S. Mun Shuo Gu 19 5 0 10 Jun 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
Tree Species Identification from Bark Images Using Convolutional Neural Networks Mathieu Carpentier Philippe Giguère Jonathan Gaudreault 16 59 0 02 Mar 2018
Towards dense object tracking in a 2D honeybee hive Katarzyna Bozek Laetitia Hebert A. Mikheyev G. Stephens VOT 32 47 0 22 Dec 2017
Deep Rotation Equivariant Network Junying Li Zichen Yang Haifeng Liu Deng Cai 26 59 0 24 May 2017
Oriented Response Networks Yanzhao Zhou QiXiang Ye Qiang Qiu Jianbin Jiao 27 259 0 07 Jan 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 28 266 0 29 Dec 2016
Steerable CNNs Taco S. Cohen Max Welling BDL 63 493 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 80 700 0 14 Dec 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 192 2,946 0 15 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012