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cs.CV2024
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks
Shizhan Gong, Jingwei Zhang, Qi Dou +1
Saliency maps are widely used in the computer vision community for interpreting neural network classifiers. However, due to the randomness of training samples and optimization algo…
cs.CV2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Shizhan Gong, Qi Dou, Farzan Farnia
Gradient-based saliency maps have been widely used to explain the decisions of deep neural network classifiers. However, standard gradient-based interpretation maps, including the…