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

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

26 May 2019
Bryan A. Plummer
Mariya I. Vasileva
Vitali Petsiuk
Kate Saenko
David A. Forsyth
    XAI
    FAtt
ArXivPDFHTML

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

5 / 5 papers shown
Title
Learning Visual Explanations for DCNN-Based Image Classifiers Using an
  Attention Mechanism
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism
Ioanna Gkartzonika
Nikolaos Gkalelis
Vasileios Mezaris
36
9
0
22 Sep 2022
A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Kristoffer Wickstrøm
Eirik Agnalt Ostmo
Keyur Radiya
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
SSL
35
13
0
11 Jul 2022
Analogies and Feature Attributions for Model Agnostic Explanation of
  Similarity Learners
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners
Karthikeyan N. Ramamurthy
Amit Dhurandhar
Dennis L. Wei
Zaid Bin Tariq
FAtt
41
3
0
02 Feb 2022
S-Extension Patch: A simple and efficient way to extend an object
  detection model
S-Extension Patch: A simple and efficient way to extend an object detection model
Dishant Parikh
ObjD
VLM
30
0
0
06 Oct 2021
Self-learn to Explain Siamese Networks Robustly
Self-learn to Explain Siamese Networks Robustly
Chao Chen
Yifan Shen
Guixiang Ma
Xiangnan Kong
S. Rangarajan
Xi Zhang
Sihong Xie
46
5
0
15 Sep 2021
1