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Revisiting the Evaluation of Class Activation Mapping for Explainability - A Novel Metric and Experimental Analysis.
CVPR Workshops, pp.2299-2304, (2021)
As the request for deep learning solutions increases, the need for explainability is even more fundamental. In this setting, particular attention has been given to visualization techniques, that try to attribute the right relevance to each input pixel with respect to the output of the network. In this paper, we focus on Class Activation...More
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