Skip to content

Repository of the paper "Learning Deep Models from Weak Labels for Water Surface Segmentation in SAR Images" presented at IGARSS 2021.

Notifications You must be signed in to change notification settings

francescoasaro/IGARSS21

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Learning Deep Models from Weak Labels for Water Surface Segmentation in SAR Images

preview image

Repository of the paper "Learning Deep Models from Weak Labels for Water Surface Segmentation in SAR Images" presented at IGARSS 2021.

Data

Test data and architecture weights available on Zenodo! Download from here or with these two lines:

pip install zenodo-get
zenodo_get 5707779

Notebook

A test notebook is available. You can try it local or play directly with it on Colab!

Open In Colab

BibTeX

@inproceedings{asaro2021learning,
  title={Learning Deep Models from Weak Labels for Water Surface Segmentation in SAR Images},
  author={Asaro, Francesco and Murdaca, Gianluca and Prati, Claudio Maria},
  booktitle={2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},
  pages={6048--6051},
  year={2021},
  organization={IEEE}
}

Contacts

If you have any question, please email francesco.asaro@polimi.it.

About

Repository of the paper "Learning Deep Models from Weak Labels for Water Surface Segmentation in SAR Images" presented at IGARSS 2021.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages