Averaging saliency values within super-pixel groups reduces the variance and improves the stability and generalizability of gradient-based interpretation maps.
Grad-cam++: Generalized gradient-based visual explanations for deep convolu- tional networks
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A Super-pixel-based Approach to the Stable Interpretation of Neural Networks
Averaging saliency values within super-pixel groups reduces the variance and improves the stability and generalizability of gradient-based interpretation maps.