-
Notifications
You must be signed in to change notification settings - Fork 500
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
How to interpret the distance? #38
Comments
Hi, I don't know if the absolute distance has such a clean interpretation, since it's dependent on the input content as well. I use this to compare algorithms to each other |
Can you clarify by 'dependent on input content'? If I were to compare against image generations, how can I use it? |
The metric is trained so that the relative values of Given different images, such as |
@richzhang I met the similar question.
|
Hi, how can we interpret the physical meaning of the similarity distance?
For example in which range, the distance means the images are very similar?
For example in which range, the distance means the images are very different?
I understood that 0 means two pictures are exactly the same. However, what if a value is around 0.5?
Any suggestions?
Thanks.
The text was updated successfully, but these errors were encountered: