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

Can you help add this paper? #1

Open
JosephPai opened this issue Oct 25, 2023 · 2 comments
Open

Can you help add this paper? #1

JosephPai opened this issue Oct 25, 2023 · 2 comments

Comments

@JosephPai
Copy link

Unsupervised Open-Vocabulary Object Localization in Videos from ICCV 2023

Thanks!

@osimeoni
Copy link
Collaborator

Hi @JosephPai, thanks for the suggestion! I believe this work would be more suited for the awesome list https://github.com/Qinying-Liu/Awesome-Open-Vocabulary-Semantic-Segmentation. In ours we focus on fully-unsupervised methods which are mainly class-agnostic. Hope that makes sense,
Best,

@JosephPai
Copy link
Author

Hi @osimeoni , thanks for the suggestion!
I think our work somehow lies in the middle ground between object localization and semantic segmentation.
If you look into the the detail, you will see that the localization part is actually achieved in an unsupervised way without category.
The labeling is an additional feature based on it.
And it turns out that the semantic labeling can further improve the localization.

But anyway, as stated in the title, our main target would still be object localization.
We are still some distance away from unsupervised semantic segmentation, which would be an exciting future work :)
So I insist on recommending that you add this paper.
As far as I know, there are not too many papers on object localization in videos.

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