Why do These Match? Explaining the Behavior of Image Similarity Models

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Why do These Match? Explaining the Behavior of Image Similarity Models

26 May 2019

Bryan A. Plummer

Mariya I. Vasileva

David A. Forsyth

ArXiv (abs)PDF HTML Github (2★)

Papers citing "Why do These Match? Explaining the Behavior of Image Similarity Models"

19 / 19 papers shown

Title
Learning Similarity Conditions Without Explicit Supervision Reuben Tan Mariya I. Vasileva Kate Saenko Bryan A. Plummer SSL 45 76 0 22 Aug 2019
A Zero-Shot Framework for Sketch-based Image Retrieval Sasi Kiran Yelamarthi M. K. Reddy Ashish Mishra Anurag Mittal 147 187 0 31 Jul 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 188 1,176 0 19 Jun 2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking Filip Radenovic Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum 60 381 0 29 Mar 2018
Learning Type-Aware Embeddings for Fashion Compatibility Mariya I. Vasileva Bryan A. Plummer Krishna Dusad Shreya Rajpal Ranjitha Kumar David A. Forsyth 87 225 0 25 Mar 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs Xinyu Wang Yufei Ye Abhinav Gupta 159 589 0 21 Mar 2018
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions Qing Li Qingyi Tao Shafiq Joty Jianfei Cai Jiebo Luo 89 109 0 20 Mar 2018
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Anna Rohrbach Bernt Schiele Trevor Darrell Marcus Rohrbach 83 423 0 15 Feb 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks Ruth C. Fong Andrea Vedaldi FAtt 82 264 0 10 Jan 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 248 1,849 0 30 Nov 2017
Automatic Spatially-aware Fashion Concept Discovery Xintong Han Zuxuan Wu Phoenix X. Huang Xiao Zhang Menglong Zhu Yuan Li Yang Zhao L. Davis 83 272 0 03 Aug 2017
Learning Fashion Compatibility with Bidirectional LSTMs Xintong Han Zuxuan Wu Yu-Gang Jiang L. Davis 73 370 0 18 Jul 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly Yongqin Xian Christoph H. Lampert Bernt Schiele Zeynep Akata VLM 172 1,570 0 03 Jul 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 158 1,526 1 19 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 83 1,526 0 11 Apr 2017
Generating Visual Explanations Lisa Anne Hendricks Zeynep Akata Marcus Rohrbach Jeff Donahue Bernt Schiele Trevor Darrell VLM FAtt 97 621 0 28 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,342 0 14 Dec 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 317 7,321 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 603 15,907 0 12 Nov 2013

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