You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In GCN preporcessing, if a tensor x has the same feature values (e.g., a pixel with RGB = [255, 255, 255]), after mean removal, the L1-norm scale would be equal to 0, which results in 0 / 0. How would you avoid this? Thanks.
The text was updated successfully, but these errors were encountered:
In GCN preporcessing, if a tensor x has the same feature values (e.g., a pixel with RGB = [255, 255, 255]), after mean removal, the L1-norm scale would be equal to 0, which results in 0 / 0. How would you avoid this? Thanks.
The text was updated successfully, but these errors were encountered: