Visualizing the Emergence of Intermediate Visual Patterns in DNNs: Supplementary Material

This work was done under the supervison of Dr. Quanshi Zhang. Please see Section G for details of the dataset, and the selection of sample features and regional features. Eq. (3) of the paper, we assume that all features This section provides detailed derivations on the learning of the mixture model in Section 3.2 of the Therefore, the optimization can be derived as follows. This section provides more discussions on the quantification of knowledge points. According to Section 3.4 of the paper, a regional feature is a knowledge point if it is discriminative enough for classification, i.e.