fullweakannotations
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: javirk
- Language: Python
- Default Branch: master
- Size: 18.6 KB
Statistics
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Full or Weak annotations?
This is the repository for the paper "Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns", presented at CVPR2023. It contains the code to reproduce the experiments presented in the paper.
Links
How to run
First of all, you need a surface of a dataset. A sample surface has been stored in surfaces/sample_surface.txt.
The format is:
run_name, classification share (%), segmentation share (%), IoU, Dice
Then, you will have to create a gp_config file. You can use any gp_config file in the gp_configs folder as a template.
Remember to change surface_file parameter to the filename of your surface file.
Finally, you can run the method with the file gp.pyas follows:
python gp.py --config gp_configs/gp_config.txt
If you use this code or the paper, consider citing:
@inproceedings{tejero2023full,
title={Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns},
author={Tejero, Javier Gamazo and Zinkernagel, Martin S and Wolf, Sebastian and Sznitman, Raphael and Neila, Pablo M{\'a}rquez},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2023}
}
Owner
- Name: Javier Gamazo
- Login: javirk
- Kind: user
- Location: Bern
- Website: www.javiergamazo.com
- Repositories: 5
- Profile: https://github.com/javirk
AI researcher curious about too many subjects.
Citation (CITATION.cff)
cff-version: 1.2.0
title: Full or Weak Annotations?
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Javier
family-names: Gamazo Tejero
affiliation: 'University of Bern, Switzerland'
- given-names: Martin S.
family-names: Zinkernagel
affiliation: 'Inselspital Bern, Switzerland'
- given-names: Sebastian
family-names: Wolf
affiliation: 'Inselspital Bern, Switzerland'
- given-names: Raphael
family-names: Sznitman
affiliation: 'University of Bern, Switzerland'
- given-names: Pablo
family-names: Márquez Neila
affiliation: 'University of Bern, Switzerland'
identifiers:
- type: url
value: 'https://github.com/javirk/FullWeakAnnotations'
description: Source Code
repository-code: 'https://github.com/javirk/FullWeakAnnotations'
url: 'https://javiergamazo.com/full_weak/'
date-released: 2023-06-20