Skip to content
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

The meaning of these parameters? #17

Open
HqWei opened this issue Jan 18, 2019 · 1 comment
Open

The meaning of these parameters? #17

HqWei opened this issue Jan 18, 2019 · 1 comment

Comments

@HqWei
Copy link

HqWei commented Jan 18, 2019

I am currently training CONV-CRF, but I have not found the corresponding formula for these parameters in your paper? I don't know their specific meaning:
'pos_feats': {
'sdims': 3,
'compat': 3,
},
'col_feats': {
'sdims': 80,
'schan': 13, # schan depend on the input scale.
# use schan = 13 for images in [0, 255]
# for normalized images in [-0.5, 0.5] try schan = 0.1
'compat': 10,
'use_bias': True

@laol777
Copy link

laol777 commented May 31, 2019

@HqWei Hello, as I got, you implemented train process, i also did it, but not correctly - the model doesn't learn anything. Could you share your implementation?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants