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Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based
  Approach

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach

22 November 2024
Lars Nieradzik
Henrike Stephani
J. Keuper
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach"

2 / 2 papers shown
Title
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
112
2,300
0
30 Oct 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
321
20,070
0
07 Oct 2016
1