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

Non-local model trained on Kinetics #23

Open
tonylins opened this issue Apr 4, 2019 · 1 comment
Open

Non-local model trained on Kinetics #23

tonylins opened this issue Apr 4, 2019 · 1 comment

Comments

@tonylins
Copy link

tonylins commented Apr 4, 2019

Hi, I have trained a Non-local ResNet-50 TSM model on Kinetics dataset using your code here: https://github.com/MIT-HAN-LAB/temporal-shift-module (I have stated the implementation is from your GitHub repo in my code). It achieves a good performance of 75.6% on Kinetics, which is even higher than Non-local ResNet-50 I3D as reported in the paper.

Since you do not include a License file in the repo, I want to make sure you are OK with using your code. And also you could consider adding a reference to my repo to show the results on Kinetics if it helps :).

@AlexHex7
Copy link
Owner

@tonylins No, problem! Thanks for telling me this.
I have created the License file and added your repo link into my ReadMe file.

By the way, I look through your paper. The idea is interesting! Especially the combination of shifting with residual connection.

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