091-revisiting-weak-to-strong-consistency-in-semi-supervised-semantic-segmentation
Science Score: 18.0%
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○codemeta.json file
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Low similarity (6.2%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- Language: Python
- Default Branch: main
- Size: 543 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2023/091-Revisiting-Weak-to-Strong-Consistency-in-Semi-Supervised-Semantic-Segmentation/blob/main/
## Getting Started
### Installation
```bash
conda create -n adaptunimatch python=3.10.4
conda activate adaptunimatch
pip install -r requirements.txt
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 -f https://download.pytorch.org/whl/torch_stable.html
```
### Pretrained Backbone
[ResNet-50](https://drive.google.com/file/d/1mqUrqFvTQ0k5QEotk4oiOFyP6B9dVZXS/view?usp=sharing) | [ResNet-101](https://drive.google.com/file/d/1Rx0legsMolCWENpfvE2jUScT3ogalMO8/view?usp=sharing) | [Xception-65](https://drive.google.com/open?id=1_j_mE07tiV24xXOJw4XDze0-a0NAhNVi)
```
./pretrained
resnet50.pth
resnet101.pth
xception.pth
```
### Dataset
- Pascal: [JPEGImages](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar) | [SegmentationClass](https://drive.google.com/file/d/1ikrDlsai5QSf2GiSUR3f8PZUzyTubcuF/view?usp=sharing)
Please modify your dataset path in configuration files.
## Usage
### AdaptUniMatch
```bash
# use torch.distributed.launch
sh scripts/train.sh
# to fully reproduce our results, the should be set as 4 on all three datasets
# otherwise, you need to adjust the learning rate accordingly
# or use slurm
# sh scripts/slurm_train.sh
```
To train on other datasets or splits, please modify
``dataset`` and ``split`` in [train.sh](https://github.com/LiheYoung/UniMatch/blob/main/scripts/train.sh).
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@inproceedings{REPO091,
author = "Yang, Lihe and Qi, Lei and Feng, Litong and Zhang, Wayne and Shi, Yinghuan",
booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition",
pages = "7236--7246",
title = "{Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation}",
year = "2023"
}