Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add 1/2 split of VOC, update README #8

Open
wants to merge 3 commits into
base: master
Choose a base branch
from
Open

Add 1/2 split of VOC, update README #8

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
53a78ba
Update README.md
Yuliang-Zou Apr 27, 2021
ca74a31
Add files via upload
Yuliang-Zou Apr 27, 2021
76dc066
Update README.md
Yuliang-Zou Apr 28, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 7 additions & 3 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,10 +1,14 @@
# [PseudoSeg: Designing Pseudo Labels for Semantic Segmentation](https://arxiv.org/pdf/2010.09713v1.pdf)
# PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Official Tensorflow implementation for [PseudoSeg: Designing Pseudo Labels for Semantic Segmentation (ICLR 2021)](https://arxiv.org/pdf/2010.09713.pdf).

PseudoSeg is a simple consistency training framework for semi-supervised image
semantic segmentation, which has a simple and novel re-design of pseudo-labeling
to generate well-calibrated structured pseudo labels for training with unlabeled
or weakly-labeled data. It is implemented by [Yuliang Zou](https://yuliang.vision/) (research intern) in 2020 Summer.

See the [project page](https://yuliang.vision/pseudo_seg/) for more details.

__This is not an official Google product.__

## Instruction
Expand Down Expand Up @@ -153,10 +157,10 @@ python vis.py \
If you use this work for your research, please cite our paper.

```
@article{zou2020pseudoseg,
@inproceedings{zou2021pseudoseg,
title={PseudoSeg: Designing Pseudo Labels for Semantic Segmentation},
author={Zou, Yuliang and Zhang, Zizhao and Zhang, Han and Li, Chun-Liang and Bian, Xiao and Huang, Jia-Bin and Pfister, Tomas},
journal={International Conference on Learning Representations (ICLR)},
booktitle={International Conference on Learning Representations (ICLR)},
year={2021}
}
```
Loading