XAI@IJCAI: Generating Part-Based Global Explanations Via Correspondence
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We proposed a methodology for generating global explanations using correspondence techniques. The focus was on delivering human-comprehensible verbal explanations, articulated as part-based expressions, derived from the input image to the Deep Neural Network classifier.