<div align="center">
<img src="./docs/logo.png" width="600"/>
</div>
<br />
[](https://cssegmentation.readthedocs.io/en/latest/)
[](https://pypi.org/project/cssegmentation/)
[](https://pypi.org/project/cssegmentation)
[](https://github.com/SegmentationBLWX/cssegmentation/blob/master/LICENSE)
[](https://pypi.org/project/cssegmentation/)
[](https://pypi.org/project/cssegmentation/)
[](https://github.com/SegmentationBLWX/cssegmentation/issues)
[](https://github.com/SegmentationBLWX/cssegmentation/issues)
Documents: https://cssegmentation.readthedocs.io/en/latest/
## Introduction
CSSegmentation: An Open Source Continual Semantic Segmentation Toolbox Based on PyTorch.
You can star this repository to keep track of the project if it's helpful for you, thank you for your support.
## Major Features
- **High Performance**
The performance of re-implemented CSS algorithms is better than or comparable to the original paper.
- **Modular Design and Unified Benchmark**
Various CSS methods are unified into several specific modules.
Benefiting from this design, CSSegmentation can integrate a great deal of popular and contemporary continual semantic segmentation frameworks and then, train and test them on unified benchmarks.
- **Fewer Dependencies**
CSSegmentation tries its best to avoid introducing more dependencies when reproducing novel continual semantic segmentation approaches.
## Benchmark and Model Zoo
#### Supported Encoder
- [ResNet](https://arxiv.org/pdf/1512.03385.pdf)
#### Supported Decoder
- [Deeplabv3](https://arxiv.org/pdf/1706.05587.pdf)
#### Supported Runner
- [MIB](https://github.com/SegmentationBLWX/cssegmentation/tree/main/docs/modelzoo/mib)
- [PLOP](https://github.com/SegmentationBLWX/cssegmentation/tree/main/docs/modelzoo/plop)
- [RCIL]()
#### Supported Datasets
- [ADE20k](https://groups.csail.mit.edu/vision/datasets/ADE20K/)
- [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/)
## Citation
If you use this framework in your research, please cite this project:
```
@misc{csseg2023,
author = {Zhenchao Jin},
title = {CSSegmentation: An Open Source Continual Semantic Segmentation Toolbox Based on PyTorch},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/SegmentationBLWX/cssegmentation}},
}
```
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