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CSSegmentation: An Open Source Continual Semantic Segmentation Toolbox Based on PyTorch

Project description


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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

Supported Decoder

Supported Runner

Supported Datasets

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}},
}

Project details


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