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.

Sign up for GitHub

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

Jump to bottom

Question about 1x1 convolutional kernels to reduce computational cost #84

Open
Ssong24 opened this issue Mar 5, 2020 · 0 comments
Open

Question about 1x1 convolutional kernels to reduce computational cost #84

Ssong24 opened this issue Mar 5, 2020 · 0 comments

Comments

@Ssong24
Copy link

Ssong24 commented Mar 5, 2020 •
edited
Loading

Can I know which part of kernel did u change 3x3 to 1x1?
In the paper, small convolutional kernel is adopted for less computation.
I first thought it's in ResBlock. But when I looked at the code, kernel size of branch2b was 3.
I'm trying to explain this thesis to my team next week. It'll be appreciate if u let me know!
@Ssong24 Ssong24 changed the title Question about 1x1 conolutional kernels to reduce computational cost Question about 1x1 convolutional kernels to reduce computational cost Mar 6, 2020
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@Ssong24