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Revisiting The Evaluation of Class Activation Mapping for
  Explainability: A Novel Metric and Experimental Analysis

Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis

20 April 2021
Samuele Poppi
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
    FAtt
ArXivPDFHTML

Papers citing "Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis"

2 / 2 papers shown
Title
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
209
2,069
0
24 Jun 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
247
6,278
0
16 Nov 2016
1