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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
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 65 1 0 02 Nov 2023
Latent Space Translation via Semantic Alignment Valentino Maiorca Luca Moschella Antonio Norelli Marco Fumero Francesco Locatello Emanuele Rodolà 124 23 0 01 Nov 2023
Invariance Measures for Neural Networks F. Quiroga J. Torrents-Barrena Laura Lanzarini Domenec Puig-Valls 31 4 0 26 Oct 2023
Understanding the Inner Workings of Language Models Through Representation Dissimilarity Davis Brown Charles Godfrey Nicholas Konz Jonathan Tu Henry Kvinge 71 8 0 23 Oct 2023
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 64 36 0 12 Oct 2023
Coloring Deep CNN Layers with Activation Hue Loss Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews LLMSV 59 0 0 05 Oct 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth Thomas Liebig 83 0 0 02 Oct 2023
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation Yunsheng Tian Jieliang Luo Yichen Li Zhengtao Zhang Hui Li 72 4 0 29 Sep 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong Anand Bhattad Yu-Xiong Wang David Forsyth MDE 64 2 0 28 Sep 2023
Policy Stitching: Learning Transferable Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen OffRL 61 8 0 24 Sep 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 130 3 0 22 Sep 2023
Mode Combinability: Exploring Convex Combinations of Permutation Aligned Models Adrián Csiszárik M. Kiss Péter Korösi-Szabó Márton Muntag Gergely Papp D. Varga MoMe 57 1 0 22 Aug 2023
Semantic Equivariant Mixup Zongbo Han Tianchi Xie Bing Wu Qinghua Hu Changqing Zhang AAML 129 0 0 12 Aug 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning Florian Bordes Shashank Shekhar Mark Ibrahim Diane Bouchacourt Pascal Vincent Ari S. Morcos 106 28 0 08 Aug 2023
On genuine invariance learning without weight-tying A. Moskalev A. Sepliarskaia Erik J. Bekkers A. Smeulders CML OOD 67 9 0 07 Aug 2023
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity Zhanpeng Zhou Yongyi Yang Xiaojiang Yang Junchi Yan Wei Hu 104 34 0 17 Jul 2023
Large-Scale Person Detection and Localization using Overhead Fisheye Cameras Lu Yang Liulei Li Xueshi Xin Yifan Sun Q. Song Wenguan Wang 101 15 0 17 Jul 2023
Substance or Style: What Does Your Image Embedding Know? Cyrus Rashtchian Charles Herrmann Chun-Sung Ferng Ayan Chakrabarti Dilip Krishnan Deqing Sun Da-Cheng Juan Andrew Tomkins 57 6 0 10 Jul 2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency Tassilo Wald Constantin Ulrich Hyunjin Park David Zimmerer Gregor Koehler Michael Baumgartner Klaus H. Maier-Hein OOD 66 1 0 05 Jul 2023
Stitched ViTs are Flexible Vision Backbones Zizheng Pan Jing Liu Haoyu He Jianfei Cai Bohan Zhuang 53 3 0 30 Jun 2023
Restore Translation Using Equivariant Neural Networks Yihan Wang Lijia Yu Xiao-Shan Gao 54 0 0 29 Jun 2023
3D molecule generation by denoising voxel grids Pedro H. O. Pinheiro Joshua Rackers J. Kleinhenz Michael R. Maser Omar Mahmood Andrew Watkins Stephen Ra Vishnu Sresht Saeed Saremi DiffM 106 25 0 13 Jun 2023
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) Weizheng Qiao Yang Xu Hui Li 63 1 0 12 Jun 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 67 6 0 26 May 2023
Text-To-Concept (and Back) via Cross-Model Alignment Mazda Moayeri Keivan Rezaei Maziar Sanjabi Soheil Feizi CLIP 75 44 0 10 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 183 75 0 10 May 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 114 8 0 05 Apr 2023
Self-Supervised Multimodal Learning: A Survey Yongshuo Zong Oisin Mac Aodha Timothy M. Hospedales SSL 125 50 0 31 Mar 2023
DeDA: Deep Directed Accumulator Hang Zhang Rongguang Wang Renjiu Hu Jinwei Zhang Jiahao Nick Li MedIm 72 5 0 15 Mar 2023
Eliciting Latent Predictions from Transformers with the Tuned Lens Nora Belrose Zach Furman Logan Smith Danny Halawi Igor V. Ostrovsky Lev McKinney Stella Biderman Jacob Steinhardt 111 231 0 14 Mar 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance Dian Wang Xu Zhu Jung Yeon Park Mingxi Jia Guanang Su Robert Platt Robin Walters 85 16 0 08 Mar 2023
Bootstrapping Parallel Anchors for Relative Representations Irene Cannistraci Luca Moschella Valentino Maiorca Marco Fumero Antonio Norelli Emanuele Rodolà 82 5 0 01 Mar 2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding Jordan S. Cotler Kai Sheng Tai Felipe Hernández Blake Elias David Sussillo 100 4 0 27 Feb 2023
Stress and Adaptation: Applying Anna Karenina Principle in Deep Learning for Image Classification Nesma Mahmoud Hanna Antson Jaesik Choi O. Shimmi K. Roy 23 2 0 22 Feb 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 211 9 0 21 Feb 2023
Stitchable Neural Networks Zizheng Pan Jianfei Cai Bohan Zhuang 102 25 0 13 Feb 2023
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering Bosong Huang Weihao Yu Ruzhong Xie Jing Xiao Jin Huang 82 0 0 09 Feb 2023
Referential communication in heterogeneous communities of pre-trained visual deep networks Matéo Mahaut Francesca Franzon Roberto Dessì Marco Baroni 85 7 0 04 Feb 2023
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time Rudolf Herdt Maximilian Schmidt Daniel Otero Baguer Jean LeĆlerc Arrastia Peter Maass 46 2 0 04 Feb 2023
StitchNet: Composing Neural Networks from Pre-Trained Fragments Surat Teerapittayanon Marcus Z. Comiter Bradley McDanel H. T. Kung 98 1 0 05 Jan 2023
Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni Yulin Wang Jiangwei Yu Haojun Jiang Yu Cao Gao Huang VLM 94 11 0 08 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 134 10 0 01 Dec 2022
Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds Henry Kvinge Grayson Jorgenson Davis Brown Charles Godfrey Tegan H. Emerson 129 2 0 19 Nov 2022
Do Neural Networks Trained with Topological Features Learn Different Internal Representations? Sarah McGuire Shane Jackson Tegan H. Emerson Henry Kvinge 45 5 0 14 Nov 2022
EquiMod: An Equivariance Module to Improve Self-Supervised Learning Alexandre Devillers Mathieu Lefort SSL 73 18 0 02 Nov 2022
Reliability of CKA as a Similarity Measure in Deep Learning Mohammad-Javad Davari Stefan Horoi A. Natik Guillaume Lajoie Guy Wolf Eugene Belilovsky AAML 145 43 0 28 Oct 2022
The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim Q. Garrido Ari S. Morcos Diane Bouchacourt VLM 99 16 0 24 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 98 129 0 24 Oct 2022
GULP: a prediction-based metric between representations Enric Boix Adserà Hannah Lawrence George Stepaniants Philippe Rigollet 85 11 0 12 Oct 2022
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 97 27 0 09 Oct 2022