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Hello, thank you very much for your hard work, I think it is very meaningful.
How do you draw Figure 9 (Visualization of graphs on different data sets) and Figure 10(a) (Visualization of feature fusion) in your paper. I think this representation is very intuitive.Could you share it, thank you very much!
The text was updated successfully, but these errors were encountered:
Compute spatial coordinate (x, y) of each superpixel by averaging all the coordinates of pixels in this superpixel. The average coordinate is taken as the position of its corresponding vertex (graph node) in figure.
Save all the edge weights and colour them in figure according to the coordinates of nodes computed in (1).
How to draw Fig.10:
Save the feature maps produced by CNN and GCN branches.
Use a classifier like logistic regression to classify these feature maps in (1) according to training labels. Then visualize the predicted probabilities generated by this classifier.
Hello, thank you very much for your hard work, I think it is very meaningful.
How do you draw Figure 9 (Visualization of graphs on different data sets) and Figure 10(a) (Visualization of feature fusion) in your paper. I think this representation is very intuitive.Could you share it, thank you very much!
The text was updated successfully, but these errors were encountered: