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"

46 / 46 papers shown

Title
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models Patrick Leask Neel Nanda Noura Al Moubayed 46 1 0 23 May 2025
Model alignment using inter-modal bridges Ali Gholamzadeh Noor Sajid 127 0 0 18 May 2025
Shared Global and Local Geometry of Language Model Embeddings Andrew Lee Melanie Weber F. Viégas Martin Wattenberg FedML 92 3 0 27 Mar 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 113 0 0 24 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability Shuchen Wu Stephan Alaniz Eric Schulz Zeynep Akata 65 0 0 03 Feb 2025
Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos Giovanni Luca Marchetti Danica Kragic Martina Scolamiero 64 0 0 17 Sep 2024
When predict can also explain: few-shot prediction to select better neural latents Kabir V. Dabholkar Omri Barak BDL 78 0 0 23 May 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 76 5 0 22 Jan 2024
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 102 67 0 10 May 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 119 9 0 21 Feb 2023
DeepCorrect: Correcting DNN models against Image Distortions Tejas S. Borkar Lina Karam 55 94 0 05 May 2017
Visual Saliency Prediction Using a Mixture of Deep Neural Networks Samuel F. Dodge Lina Karam FAtt 66 48 0 01 Feb 2017
Steerable CNNs Taco S. Cohen Max Welling BDL 101 498 0 27 Dec 2016
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 37 78 0 14 Oct 2016
An Analysis of Deep Neural Network Models for Practical Applications A. Canziani Adam Paszke Eugenio Culurciello 71 1,165 0 24 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 322 37,704 0 20 May 2016
TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks D. Laptev Nikolay Savinov J. M. Buhmann Marc Pollefeys OOD 46 257 0 21 Apr 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 117 1,917 0 24 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 86 364 0 08 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images Aravindh Mahendran Andrea Vedaldi FAtt 55 532 0 07 Dec 2015
Convergent Learning: Do different neural networks learn the same representations? Yixuan Li J. Yosinski Jeff Clune Hod Lipson John E. Hopcroft SSL 74 358 0 24 Nov 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 264 7,361 0 05 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 412 61,900 0 04 Jun 2015
Understanding deep features with computer-generated imagery Mathieu Aubry Bryan C. Russell 41 148 0 03 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 277 24,976 0 30 Apr 2015
Object Detection Networks on Convolutional Feature Maps Shaoqing Ren Kaiming He Ross B. Girshick Xinming Zhang Jian Sun ObjD 66 409 0 23 Apr 2015
Rotation-invariant convolutional neural networks for galaxy morphology prediction Sander Dieleman K. Willett J. Dambre 64 652 0 24 Mar 2015
Visualizing Object Detection Features Carl Vondrick A. Khosla Hamed Pirsiavash Tomasz Malisiewicz Antonio Torralba 57 56 0 19 Feb 2015
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 260 2,947 0 15 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 154 8,309 0 06 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 333 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 954 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun ObjD 262 11,183 0 18 Jun 2014
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen Roozbeh Mottaghi Xiaobai Liu Sanja Fidler R. Urtasun Alan Yuille 72 639 0 08 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 189 3,414 0 14 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 127 4,937 0 23 Mar 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 135 4,999 0 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 194 7,252 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 329 15,825 0 12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 224 26,122 0 11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 160 4,946 0 06 Oct 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 144 1,314 0 03 Jun 2013
Learning Invariant Representations with Local Transformations Kihyuk Sohn Honglak Lee OOD 56 189 0 27 Jun 2012
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 93 1,272 0 05 Mar 2012