Skip to content

Codes of paper "Fast and Accurate Unknown Object Instance Segmentation through Error-Informed Refinement"

Notifications You must be signed in to change notification settings

gist-ailab/insta-beer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 

Repository files navigation

INSTA-BEER

This repository contains the source codes for the paper "Fast and Accurate Unknown Object Instance Segmentation through Error-Informed Refinement".

The paper has been authored by Seunghyeok Back, Sangbeom Lee, Kangmin Kim, Joosoon Lee, Sungho Shin, Jemo Maeng, and Kyoobin Lee.

Project Status

The project is currently under review. We will make the full codebase public once it has been accepted. In the meantime, feel free to watch this space for updates. If you're interested in our work, please consider starring this repository or 'watch' it to get notifications on updates.

Contact

Should you have any questions or comments about our project, feel free to reach out to us at shback@gm.gist.ac.kr or open an issue in this repository.

About

Codes of paper "Fast and Accurate Unknown Object Instance Segmentation through Error-Informed Refinement"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published