SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches

SketchXplain is a novel approach for generating intuitive visual explanations of image classifiers by utilizing artistic sketches. It integrates saliency maps, concept-bottleneck models, and sketch optimization to produce coherent and simplified representations of image data. Evaluations on tasks such as face expression recognition and skin lesion diagnosis demonstrate that SketchXplain facilitates quicker interpretation and more aligned visualizations compared to traditional methods, highlighting its potential to improve explainability in AI applications.