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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"

50 / 260 papers shown

Title
Symmetry Defense Against CNN Adversarial Perturbation Attacks Blerta Lindqvist AAML 74 2 0 08 Oct 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 99 40 0 06 Oct 2022
Relative representations enable zero-shot latent space communication Luca Moschella Valentino Maiorca Marco Fumero Antonio Norelli Francesco Locatello Emanuele Rodolà 118 109 0 30 Sep 2022
Linearly Mapping from Image to Text Space Jack Merullo Louis Castricato Carsten Eickhoff Ellie Pavlick VLM 248 118 0 30 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 67 3 0 24 Sep 2022
Analyzing Transformers in Embedding Space Guy Dar Mor Geva Ankit Gupta Jonathan Berant 83 93 0 06 Sep 2022
Imaging with Equivariant Deep Learning Dongdong Chen Mike Davies Matthias Joachim Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella 115 32 0 05 Sep 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs Zhengyang Shen T. Hong Qi She Jinwen Ma Zhouchen Lin MedIm 45 7 0 07 Aug 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 50 9 0 01 Aug 2022
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval Keyu Wen Zhenshan Tan Qingrong Cheng Cheng Chen X. Gu VLM 67 0 0 02 Jul 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 115 53 0 20 Jun 2022
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective Rhea Chowers Yair Weiss 75 3 0 06 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews 68 0 0 05 Jun 2022
Long Scale Error Control in Low Light Image and Video Enhancement Using Equivariance Sara Aghajanzadeh David A. Forsyth 48 3 0 02 Jun 2022
On the Symmetries of Deep Learning Models and their Internal Representations Charles Godfrey Davis Brown Tegan H. Emerson Henry Kvinge 102 45 0 27 May 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning Fei Wang Zhewei Xu Pedro A. Szekely Muhao Chen LMTD 96 48 0 08 May 2022
Audio Deep Fake Detection System with Neural Stitching for ADD 2022 Rui Yan Cheng Wen Shuran Zhou Tingwei Guo Wei Zou Xiangang Li 49 24 0 19 Apr 2022
PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials Phong C. H. Nguyen Y. Nguyen Joseph B. Choi P. Seshadri H. Udaykumar Stephen Seung-Yeob Baek AI4CE 114 18 0 04 Apr 2022
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching Yujiao Shi Xin Yu Liu Liu Dylan Campbell Piotr Koniusz Hongdong Li 61 46 0 26 Mar 2022
Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors Xinhua Zhang L. Williams 18 1 0 13 Mar 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses Alexander Veicht Cédric Renggli Diogo Barradas AAML 75 8 0 08 Mar 2022
A Principled Design of Image Representation: Towards Forensic Tasks Shuren Qi Yushu Zhang Chao Wang Jiantao Zhou Xiaochun Cao 112 18 0 02 Mar 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin Walters Rose Yu 133 82 0 28 Jan 2022
Homography Decomposition Networks for Planar Object Tracking Xinrui Zhan Yue Liu Jianke Zhu Yang Li 88 14 0 15 Dec 2021
SIRfyN: Single Image Relighting from your Neighbors David A. Forsyth Anand Bhattad P. Asthana Yuanyi Zhong Yuxiong Wang 62 3 0 08 Dec 2021
Time-Equivariant Contrastive Video Representation Learning Simon Jenni Hailin Jin SSL AI4TS 207 61 0 07 Dec 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 90 5 0 28 Nov 2021
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao João F. Henriques BDL OOD MQ 44 2 0 25 Nov 2021
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups Hugo Aguettaz Erik J. Bekkers M. Defferrard GNN 24 1 0 23 Nov 2021
Equivariant Contrastive Learning Rumen Dangovski Li Jing Charlotte Loh Seung-Jun Han Akash Srivastava Brian Cheung Pulkit Agrawal Marin Soljacic 98 79 0 28 Oct 2021
Similarity and Matching of Neural Network Representations Adrián Csiszárik Péter Korösi-Szabó Á. Matszangosz Gergely Papp D. Varga 51 71 0 27 Oct 2021
Augmenting Imitation Experience via Equivariant Representations Dhruv Sharma Ali Kuwajerwala Florian Shkurti 110 2 0 14 Oct 2021
On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation Gal Patel Leshem Choshen Omri Abend 94 2 0 06 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 100 80 0 06 Oct 2021
Turing approximations, toric isometric embeddings & manifold convolutions P. Suárez-Serrato 62 1 0 05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 108 42 0 05 Oct 2021
Long Short View Feature Decomposition via Contrastive Video Representation Learning Nadine Behrmann Mohsen Fayyaz Juergen Gall M. Noroozi 66 36 0 23 Sep 2021
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils Li-Wei Chen Nils Thuerey AI4CE 67 9 0 05 Sep 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 196 72 0 26 Aug 2021
Grounding Representation Similarity with Statistical Testing Frances Ding Jean-Stanislas Denain Jacob Steinhardt 87 30 0 03 Aug 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 45 1 0 26 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 115 69 0 02 Jul 2021
Canonical Face Embeddings David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 56 7 0 15 Jun 2021
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 120 121 0 14 Jun 2021
Revisiting consistency for semi-supervised semantic segmentation Ivan Grubišić Marin Orsic Sinisa Segvic 52 5 0 13 Jun 2021
Grounding inductive biases in natural images:invariance stems from variations in data Diane Bouchacourt Mark Ibrahim Ari S. Morcos OOD 88 26 0 09 Jun 2021
Self-Supervised Graph Representation Learning via Topology Transformations Xiang Gao Wei Hu Guo-Jun Qi SSL 47 4 0 25 May 2021
Tracking translation invariance in CNNs Johannes C. Myburgh Coenraad Mouton Marelie Hattingh Davel 29 13 0 13 Apr 2021
Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics Kevin Zeng M. Graham AI4CE 90 24 0 09 Apr 2021
Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen Julián Tachella Mike E. Davies SSL 110 103 0 26 Mar 2021