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Documents: https://cssegmentation.readthedocs.io/en/latest/
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.
The performance of re-implemented CSS algorithms is better than or comparable to the original paper.
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.
CSSegmentation tries its best to avoid introducing more dependencies when reproducing novel continual semantic segmentation approaches.
| Encoder | Model Zoo | Paper Link | Code Snippet |
|---|---|---|---|
| ResNet | click | CVPR 2016 | click |
| Decoder | Model Zoo | Paper Link | Code Snippet |
|---|---|---|---|
| Deeplabv3 | click | ArXiv 2017 | click |
| Runner | Model Zoo | Paper Link | Code Snippet |
|---|---|---|---|
| EWF | click (under developing) | CVPR 2023 | click |
| UCD | click (under developing) | TPAMI 2022 | click |
| RCIL | click (under developing) | CVPR 2022 | click |
| REMINDER | click (under developing) | CVPR 2022 | click |
| CAF | click (under developing) | TMM 2022 | click |
| SDR | click (under developing) | CVPR 2021 | click |
| PLOP | click | CVPR 2021 | click |
| MIB | click | CVPR 2020 | click |
| ILT | click | ICCVW 2019 | click |
| Dataset | Project Link | Paper Link | Code Snippet |
|---|---|---|---|
| ADE20k | Click | CVPR 2017 | Click |
| PASCAL VOC | Click | IJCV 2010 | Click |
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}},
}
$ claude mcp add cssegmentation \
-- python -m otcore.mcp_server <graph>