Exploiting Cyclic Symmetry in Convolutional Neural Networks

8 February 2016

Papers citing "Exploiting Cyclic Symmetry in Convolutional Neural Networks"

50 / 207 papers shown

Title
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems ShihChung B. Lo Ph. D. M. Freedman M. D. S. Mun Ph. D. H. Chan Ph. D 19 4 0 03 Aug 2018
Scale equivariance in CNNs with vector fields Diego Marcos B. Kellenberger Sylvain Lobry D. Tuia 33 56 0 31 Jul 2018
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors S. Lo M. Freedman S. Mun 15 3 0 30 Jul 2018
Coreset-Based Neural Network Compression Abhimanyu Dubey Moitreya Chatterjee Narendra Ahuja 32 79 0 25 Jul 2018
DeSTNet: Densely Fused Spatial Transformer Networks R. Annunziata Christos Sagonas Jacques Calì 33 6 0 11 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 45 495 0 06 Jul 2018
Group Equivariant Capsule Networks J. E. Lenssen Matthias Fey Pascal Libuschewski 30 109 0 13 Jun 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
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization Kashyap Chitta 22 2 0 01 Jun 2018
Rotation Equivariance and Invariance in Convolutional Neural Networks Benjamin Chidester Minh Do Jian Ma 21 35 0 31 May 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 37 557 0 30 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 32 205 0 26 Apr 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 26 141 0 12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 36 107 0 12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 25 171 0 10 Apr 2018
Group Normalization Yuxin Wu Kaiming He 69 3,603 0 22 Mar 2018
HexaConv Emiel Hoogeboom Jorn W. T. Peters Taco S. Cohen Max Welling 17 56 0 06 Mar 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations Beranger Dumont Simona Maggio Pablo Montalvo AAML 16 23 0 19 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 80 894 0 30 Jan 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 151 2,423 0 23 Jan 2018
Deformable Classifiers Jiajun Shen Y. Amit 16 0 0 18 Dec 2017
Transformational Sparse Coding Dimitrios C. Gklezakos Rajesh P. N. Rao 9 2 0 08 Dec 2017
Efficient and Invariant Convolutional Neural Networks for Dense Prediction Hongyang Gao Shuiwang Ji MDE 20 11 0 24 Nov 2017
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 44 382 0 20 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 30 517 0 02 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
Interpretable Transformations with Encoder-Decoder Networks Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow DRL 30 101 0 19 Oct 2017
Convolutional Networks for Spherical Signals Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 38 70 0 14 Sep 2017
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning Gustav Larsson SSL VLM 21 5 0 19 Aug 2017
Analysis and Optimization of Convolutional Neural Network Architectures Martin Thoma 30 72 0 31 Jul 2017
PatchShuffle Regularization Guoliang Kang Xuanyi Dong Liang Zheng Yi Yang 24 74 0 22 Jul 2017
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision Xinshuo Weng Shangxuan Wu Fares N. Beainy Kris Kitani ObjD 29 12 0 19 Jun 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition Che-Wei Huang Shrikanth. S. Narayanan HAI 27 2 0 07 Jun 2017
Dynamic Steerable Blocks in Deep Residual Networks J. Jacobsen Bert de Brabandere A. Smeulders 22 28 0 02 Jun 2017
Dense Transformer Networks Jun Yu Li Yongjun Chen Lei Cai Ian Davidson Shuiwang Ji ViT MedIm 16 17 0 24 May 2017
Deep Rotation Equivariant Network Junying Li Zichen Yang Haifeng Liu Deng Cai 26 59 0 24 May 2017
Beyond Planar Symmetry: Modeling human perception of reflection and rotation symmetries in the wild Christopher Funk Yanxi Liu 22 38 0 11 Apr 2017
On the effect of pooling on the geometry of representations Gary Bécigneul 22 2 0 20 Mar 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 110 5,262 0 17 Mar 2017
Mixing Complexity and its Applications to Neural Networks Michal Moshkovitz Naftali Tishby 32 11 0 02 Mar 2017
Graph-based Isometry Invariant Representation Learning Renata Khasanova P. Frossard 29 55 0 01 Mar 2017
Equivariance Through Parameter-Sharing Siamak Ravanbakhsh J. Schneider Barnabás Póczós 33 255 0 27 Feb 2017
Emergence of Selective Invariance in Hierarchical Feed Forward Networks Dipan K. Pal Vishnu Boddeti Marios Savvides 20 0 0 30 Jan 2017
Automatic Discoveries of Physical and Semantic Concepts via Association Priors of Neuron Groups Shuai Li Kui Jia Xiaogang Wang 13 0 0 30 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
Local Group Invariant Representations via Orbit Embeddings Anant Raj Abhishek Kumar Youssef Mroueh Tom Fletcher Bernhard Schölkopf 19 38 0 06 Dec 2016
Inferring low-dimensional microstructure representations using convolutional neural networks Nicholas Lubbers T. Lookman K. Barros 23 108 0 08 Nov 2016
Doubly Convolutional Neural Networks Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang OOD 3DV 24 63 0 30 Oct 2016
Master's Thesis : Deep Learning for Visual Recognition Rémi Cadène Nicolas Thome Matthieu Cord 39 4 0 18 Oct 2016