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Understanding image representations by measuring their equivariance and equivalence

21 November 2014

Andrea Vedaldi

Papers citing "Understanding image representations by measuring their equivariance and equivalence"

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Title
Stride and Translation Invariance in CNNs Coenraad Mouton Johannes C. Myburgh Marelie Hattingh Davel 48 29 0 18 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 78 6 0 01 Mar 2021
Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations Yunkai Yu Yuyang You Zhihong Yang Guozheng Liu Peiyao Li Zhicheng Yang Wenjing Shan 41 2 0 31 Jan 2021
Robust Representation Learning with Feedback for Single Image Deraining Chenghao Chen Hao Li 78 81 0 29 Jan 2021
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs Adam Byerly T. Kalganova A. Grichnik 47 4 0 27 Jan 2021
Towards glass-box CNNs Manaswini Piduguralla Jignesh S. Bhatt 34 3 0 11 Jan 2021
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation Yaohui Wang Francois Bremond A. Dantcheva VGen GAN 219 25 0 08 Jan 2021
Learning Equivariant Representations Carlos Esteves BDL 61 0 0 04 Dec 2020
Learnable Gabor modulated complex-valued networks for orientation robustness Felix Richards A. Paiement Xianghua Xie Elisabeth Sola Pierre-Alain Duc 35 2 0 23 Nov 2020
Intrinsic Image Decomposition using Paradigms David A. Forsyth Jason Rock 60 25 0 20 Nov 2020
Learning Translation Invariance in CNNs Valerio Biscione J. Bowers SSL 54 13 0 06 Nov 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 82 70 0 27 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 82 44 0 21 Oct 2020
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations Yanghao Zhang Wenjie Ruan Fu Lee Wang Xiaowei Huang AAML 89 24 0 15 Oct 2020
From Language Games to Drawing Games Chrisantha Fernando D. Zenkova Stanislav Nikolov Simon Osindero 63 4 0 06 Oct 2020
Exploring the Interchangeability of CNN Embedding Spaces David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 40 1 0 05 Oct 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales Ashesh Mishra Chu-Song Chen Hsuan-Tien Lin 78 7 0 15 Sep 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
A Survey on Instance Segmentation: State of the art A. M. Hafiz G. M. Bhat SSeg ISeg 95 436 0 28 Jun 2020
On Equivariant and Invariant Learning of Object Landmark Representations Zezhou Cheng Jong-Chyi Su Subhransu Maji SSL 58 7 0 26 Jun 2020
Deep Transformation-Invariant Clustering Tom Monnier Thibault Groueix Mathieu Aubry OOD 3DH 91 34 0 19 Jun 2020
A Hybrid Framework for Matching Printing Design Files to Product Photos Alper Kaplan Erdem Akagündüz 30 0 0 09 Jun 2020
Self-Supervised Localisation between Range Sensors and Overhead Imagery T. Y. Tang D. Martini Shangzhe Wu Paul Newman SSL 55 24 0 03 Jun 2020
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching Yujiao Shi Xin Yu Dylan Campbell Hongdong Li 75 174 0 08 May 2020
How Can CNNs Use Image Position for Segmentation? Rito Murase Masanori Suganuma Takayuki Okatani SSeg 37 14 0 07 May 2020
Group Equivariant Generative Adversarial Networks Neel Dey Antong Chen S. Ghafurian GAN 92 33 0 04 May 2020
NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function Mohamed H. Abdelpakey M. Shehata 3DPC 53 1 0 25 Apr 2020
Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations Shaohua Li Xiuchao Sui Jie Fu Yong Liu Rick Siow Mong Goh 39 3 0 12 Apr 2020
Towards Reusable Network Components by Learning Compatible Representations Michael Gygli J. Uijlings V. Ferrari 35 1 0 08 Apr 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 341 237 0 16 Mar 2020
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space M. Abrishami Amir Erfan Eshratifar David Eigen Yanzhi Wang Shahin Nazarian Massoud Pedram 18 1 0 12 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 147 177 0 08 Feb 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
Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks Xu Shen Xinmei Tian Shaoyan Sun Dacheng Tao 40 7 0 28 Nov 2019
Translation Insensitive CNNs G. Sundaramoorthi Timothy E. Wang 63 7 0 25 Nov 2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations Xiang Gao Wei Hu Guo-Jun Qi 3DPC 88 44 0 19 Nov 2019
RotationOut as a Regularization Method for Neural Network Kaiqin Hu Barnabás Póczós 45 1 0 18 Nov 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions He Zhao Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 62 8 0 03 Oct 2019
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse Hao Chen Youfu Li ObjD 47 23 0 20 Sep 2019
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking Mohamed H. Abdelpakey M. Shehata 61 8 0 21 Aug 2019
Building Deep, Equivariant Capsule Networks Sairaam Venkatraman S. Balasubramanian R. R. Sarma 3DPC 78 27 0 04 Aug 2019
On the "steerability" of generative adversarial networks Ali Jahanian Lucy Chai Phillip Isola GAN OOD 155 397 0 16 Jul 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 125 139 0 07 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 81 227 0 31 May 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets Guy Hacohen Leshem Choshen D. Weinshall AI4TS OOD 124 57 0 26 May 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 103 124 0 03 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 105 799 0 25 Apr 2019
Deep Comprehensive Correlation Mining for Image Clustering Jianlong Wu Keyu Long Fei Wang Chao Qian Cheng Li Zhouchen Lin H. Zha 69 161 0 15 Apr 2019