Skip to content

[WACV 2023] Unsupervised Video Object Segmentation via Prototype Memory Network

License

Notifications You must be signed in to change notification settings

Hydragon516/PMN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PMN

[WACV 2023] Unsupervised Video Object Segmentation via Prototype Memory Network PWC PWC

Authors: Minhyeok Lee, Suhwan Cho, Seunghoon Lee, Chaewon Park, Sangyoun Lee

This repository provides official code for paper "Unsupervised Video Object Segmentation via Prototype Memory Network" accepted by the WACV 2023 conference.

Paper links : official, arXiv

Prepared Datasets

TBD

Requirements

For the superpixel algorithm we use fast_slic. You can install it like this:

pip install fast_slic

Training Model

TBD

Evaluation

TBD

Citation

@inproceedings{lee2023unsupervised,
  title={Unsupervised Video Object Segmentation via Prototype Memory Network},
  author={Lee, Minhyeok and Cho, Suhwan and Lee, Seunghoon and Park, Chaewon and Lee, Sangyoun},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={5924--5934},
  year={2023}
}

About

[WACV 2023] Unsupervised Video Object Segmentation via Prototype Memory Network

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages