Exploiting Cyclic Symmetry in Convolutional Neural Networks

8 February 2016

Papers citing "Exploiting Cyclic Symmetry in Convolutional Neural Networks"

50 / 207 papers shown

Title
On Universalized Adversarial and Invariant Perturbations Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 27 0 0 08 Jun 2020
Equivariant Maps for Hierarchical Structures Renhao Wang Marjan Albooyeh Siamak Ravanbakhsh 3DPC 24 13 0 05 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 30 28 0 02 Jun 2020
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning Axel Barroso Laguna Yannick Verdié Benjamin Busam K. Mikolajczyk 27 18 0 12 May 2020
Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors Yin Tang Qi Teng Lefei Zhang Fuhong Min Jun He HAI 21 89 0 08 May 2020
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation Shuchao Pang Anan Du M. Orgun Yan Wang Quanzheng Sheng Shoujin Wang Xiaoshui Huang Zhenmei Yu 31 2 0 08 May 2020
Group Equivariant Generative Adversarial Networks Neel Dey Antong Chen S. Ghafurian GAN 30 33 0 04 May 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning Mirgahney Mohamed Gabriele Cesa Taco S. Cohen Max Welling MedIm 32 18 0 21 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
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath Amit Deshpande Subrahmanyam Kambhampati Venkata V. Balasubramanian 33 12 0 26 Feb 2020
Set2Graph: Learning Graphs From Sets Hadar Serviansky Nimrod Segol Jonathan Shlomi Kyle Cranmer Eilam Gross Haggai Maron Y. Lipman PINN GNN 16 35 0 20 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
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 32 132 0 20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 54 170 0 08 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 110 48 0 07 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 91 0 07 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 21 53 0 24 Jan 2020
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework Tobias Schlosser Michael Friedrich Danny Kowerko 14 15 0 25 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 45 506 0 19 Nov 2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations Xiang Gao Wei Hu Guo-Jun Qi 3DPC 28 43 0 19 Nov 2019
Affine Self Convolution Nichita Diaconu Daniel E. Worrall 18 3 0 18 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 29 24 0 18 Nov 2019
LGN-CNN: a biologically inspired CNN architecture F. Bertoni G. Citti A. Sarti 22 22 0 14 Nov 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 25 4 0 31 Oct 2019
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers F. Marulanda Pieter J. K. Libin T. Verstraeten A. Nowé 3DPC 16 4 0 30 Sep 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 40 129 0 26 Sep 2019
Deep learning for Plankton and Coral Classification A. Lumini L. Nanni Gianluca Maguolo 17 66 0 15 Aug 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 28 38 0 25 Jul 2019
Exploiting Prunability for Person Re-Identification Hugo Masson Amran Bhuiyan Le Thanh Nguyen-Meidine Mehrsan Javan P. Siva Ismail Ben Ayed Eric Granger 24 8 0 04 Jul 2019
Stacked Capsule Autoencoders Adam R. Kosiorek S. Sabour Yee Whye Teh Geoffrey E. Hinton OCL 19 262 0 17 Jun 2019
SymNet: Symmetrical Filters in Convolutional Neural Networks Gregory Dzhezyan H. Cecotti 14 7 0 10 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
Countering Noisy Labels By Learning From Auxiliary Clean Labels Tsung Wei Tsai Chongxuan Li Jun Zhu SSL 10 1 0 23 May 2019
Branched Multi-Task Networks: Deciding What Layers To Share Simon Vandenhende Stamatios Georgoulis Bert De Brabandere Luc Van Gool 25 145 0 05 Apr 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 39 626 0 29 Mar 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation Xuelong Li Lequan Yu Hao Chen Chi-Wing Fu Lei Xing Pheng-Ann Heng MedIm 26 379 0 28 Feb 2019
OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains Hamidreza Kasaei 21 28 0 08 Feb 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 19 69 0 25 Jan 2019
Retinal vessel segmentation based on Fully Convolutional Neural Networks Américo Oliveira Sérgio Pereira Carlos Alberto Silva MedIm 27 262 0 18 Dec 2018
Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks Shuai Li 31 2 0 30 Nov 2018
Quantizing Euclidean motions via double-coset decomposition C. Wülker Gregory Chirikjian 20 9 0 28 Nov 2018
Symmetry constrained machine learning D. Bergman 9 12 0 16 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
Pose Estimation for Objects with Rotational Symmetry Enric Corona Kaustav Kundu Sanja Fidler 18 38 0 13 Oct 2018
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 27 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 16 53 0 27 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 27 1 0 30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 35 3 0 21 Aug 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model Xiaomeng Li Lequan Yu Hao Chen Chi-Wing Fu Pheng-Ann Heng MedIm 33 134 0 12 Aug 2018
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images Pascal Sturmfels S. Rutherford Mike Angstadt Mark Peterson Chandra S. Sripada Jenna Wiens MedIm 27 23 0 11 Aug 2018