Include Light Weight Bottle Neck Attention Unet (LWBNA_Unet) architecture

keras-team / keras-cv

Industry-strength Computer Vision workflows with Keras

Other

1k stars 332 forks source link

Include Light Weight Bottle Neck Attention Unet (LWBNA_Unet) architecture #606

Open fcossio opened 2 years ago

fcossio commented 2 years ago

Short Description

I would like to add the architecture described in the paper mentioned below.

Papers

A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images, May 2022. Sharma et al. No citations yet. Was mentioned by fchollet here

Existing Implementations

fcossio/LWBNA_Unet

fcossio commented 2 years ago

Hi, is there any interest for this possible contribution?

innat commented 2 years ago

@fcossio It's a great paper. To have this in keras cv, I think we need to first add basic UNet. No semantic segmentation model is added until now. You can first create issue on that to proceed to PR.

cc. @LukeWood

Muhammed-EmadEldeen commented 11 months ago

Hello @innat , I'm wondering if the basic UNET architecture has been incorporated into the project. If it hasn't, I'd like to initiate a new issue to implement this architecture. Before proceeding, I'd like to clarify a few things:

Do I need to collect the data myself for this task?
Could you please provide information about where the model will be trained? Thank you!

innat commented 11 months ago

I'm not sure but keras team is not interested to add basic / base unet. (I'm not sure why!)

Muhammed-EmadEldeen commented 11 months ago

Alright, thanks for the update @innat. I appreciate it. Can you suggest a beginner-friendly issue for me to work on?

innat commented 11 months ago

You can contribute on documentaiton (for example , or this), - generall see the open issue and pick which interests you.

github-actions[bot] commented 5 months ago

This issue is stale because it has been open for 180 days with no activity. It will be closed if no further activity occurs. Thank you.