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
I want to know why structure knowledge distillation is effective and how it can be used for regression tasks?How to choose the intermediate feature maps for pair-wise knowledge distillation? Is there anyone can help me for this question?
The text was updated successfully, but these errors were encountered:
Because it considers the correlation among pixels. If the unary part is hard to learn or can not be trained effectively, employing the structure KD will help training.
I tend to choose some deeper features. Because abstract semantics makes more sense. Besides, the spatial size is smaller which is more efficient.
I want to know why structure knowledge distillation is effective and how it can be used for regression tasks?How to choose the intermediate feature maps for pair-wise knowledge distillation? Is there anyone can help me for this question?
The text was updated successfully, but these errors were encountered: