v1v2 (latest)

TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks

21 April 2016

Marc Pollefeys

Papers citing "TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks"

50 / 122 papers shown

Title
Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps Tse-Wei Chen Motoki Yoshinaga Hongxing Gao Wei Tao Dongchao Wen Junjie Liu Kinya Osa Masami Kato 47 8 0 29 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 67 20 0 22 Apr 2021
Generating Unrestricted Adversarial Examples via Three Parameters Hanieh Naderi Leili Goli S. Kasaei 83 9 0 13 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 125 112 0 01 Mar 2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions Xingyi Li Wenxuan Wu Xiaoli Z. Fern Li Fuxin 3DPC 49 4 0 19 Jan 2021
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders I. Sledge Matthew S. Emigh Jonathan L. King Denton L. Woods J. T. Cobb José C. Príncipe 52 17 0 10 Jan 2021
Rotation Equivariant Siamese Networks for Tracking D. K. Gupta Devanshu Arya E. Gavves 82 37 0 24 Dec 2020
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups Piotr Kicki Mete Ozay Piotr Skrzypczyñski 42 1 0 11 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 56 0 0 04 Dec 2020
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes Qi Zhang Antoni B. Chan 51 17 0 02 Dec 2020
Learnable Gabor modulated complex-valued networks for orientation robustness Felix Richards A. Paiement Xianghua Xie Elisabeth Sola Pierre-Alain Duc 26 2 0 23 Nov 2020
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization Shidong Wang Yi Ren G. Parr Yu Guan Ling Shao 33 19 0 11 Nov 2020
Learning Invariances in Neural Networks Gregory W. Benton Marc Finzi Pavel Izmailov A. Wilson 94 70 0 22 Oct 2020
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning Hyunseung Chung Woo-Jeoung Nam Seong-Whan Lee 45 3 0 19 Oct 2020
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions Wolfgang Fuhl Enkelejda Kasneci 56 14 0 02 Oct 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers Jinpyo Kim Wookeun Jung Hyungmo Kim Jaejin Lee 56 31 0 21 Jul 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen Lingshen He Zhouchen Lin Jinwen Ma 97 47 0 20 Jul 2020
Scale Equivariance Improves Siamese Tracking Ivan Sosnovik A. Moskalev A. Smeulders 50 79 0 17 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 111 9 0 30 Jun 2020
On Universalized Adversarial and Invariant Perturbations Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 29 0 0 08 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 122 69 0 02 Jun 2020
Regularized Pooling Takato Otsuzuki Hideaki Hayashi Yuchen Zheng S. Uchida 25 5 0 06 May 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 109 89 0 06 Apr 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 334 237 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 88 12 0 26 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 134 324 0 25 Feb 2020
Histogram Layers for Texture Analysis Joshua Peeples Weihuang Xu A. Zare 43 49 0 01 Jan 2020
Transform-Invariant Convolutional Neural Networks for Image Classification and Search Xu Shen Xinmei Tian Anfeng He Shaoyan Sun Dacheng Tao OOD 77 42 0 28 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 121 526 0 19 Nov 2019
LGN-CNN: a biologically inspired CNN architecture F. Bertoni G. Citti A. Sarti 39 23 0 14 Nov 2019
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs Xenju Xu Guanghui Wang Alan Sullivan Ziming Zhang 65 23 0 31 Aug 2019
Learning Complex Basis Functions for Invariant Representations of Audio Stefan Lattner M. Dörfler A. Arzt 49 13 0 13 Jul 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 121 42 0 26 Jun 2019
Visual Context-aware Convolution Filters for Transformation-invariant Neural Network Suraj Tripathi Abhay Kumar Chirag Singh 10 0 0 15 Jun 2019
Invariant Feature Coding using Tensor Product Representation Yusuke Mukuta Tatsuya Harada 43 0 0 05 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 80 19 0 29 May 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 89 24 0 31 Mar 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 96 71 0 25 Jan 2019
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification Yuchen Li Safwan Hossain Kiarash Jamali Frank Rudzicz 21 1 0 18 Nov 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 158 125 0 10 Sep 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 39 3 0 21 Aug 2018
Scale equivariance in CNNs with vector fields Diego Marcos B. Kellenberger Sylvain Lobry D. Tuia 89 56 0 31 Jul 2018
DeSTNet: Densely Fused Spatial Transformer Networks R. Annunziata Christos Sagonas Jacques Calì 44 6 0 11 Jul 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 56 43 0 17 May 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 90 143 0 12 Apr 2018
Detecting Multi-Oriented Text with Corner-based Region Proposals Linjie Deng Yanxiang Gong Yi Lin Jingwen Shuai X. Tu Yuefei Zhang Zejun Ma M. Xie 49 39 0 08 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 125 237 0 16 Mar 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations Beranger Dumont Simona Maggio Pablo Montalvo AAML 69 24 0 19 Feb 2018
Deformable Classifiers Jiajun Shen Y. Amit 23 0 0 18 Dec 2017
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 122 388 0 20 Nov 2017