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

Consideration of "Local Importance-based Pooling" (LIP) as an attention method #6

Closed
sebgao opened this issue Nov 27, 2021 · 1 comment

Comments

@sebgao
Copy link

sebgao commented Nov 27, 2021

Hi Menghao,

Thanks for your great and helpful work. I regard our proposed LIP [1] also as a local attention method designed for the spatial downsampling procedure, whose weights are produced by a lightweight sub-network. Though being designed for spatial downsizing, it still falls in the regime of attention approaches. Could you please consider LIP also as an attention method especially for the pooling procedure?

By the way, the work TAM [2] done by our group is accepted by ICCV 2021. Please consider updating the venue of this paper.

[1] LIP: Local Importance-Based Pooling. ICCV 2019.
[2] TAM: Temporal Adaptive Module for Video Recognition. ICCV 2021.

@sebgao sebgao changed the title Consideration of "Local Importance-based Pooling" (LIP) Consideration of "Local Importance-based Pooling" (LIP) as an attention method Nov 27, 2021
@sebgao sebgao closed this as completed Nov 27, 2021
@sebgao sebgao reopened this Nov 27, 2021
@MenghaoGuo
Copy link
Owner

Hi,

Thanks for your great work and kind suggestion for perfecting this paper. I will read the mentioned papers and consider your suggestions.

Best,
Menghao

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