CSSegmentation 0.0.1

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

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

Supported Decoder

• Deeplabv3

Supported Runner

• MIB
• PLOP
• RCIL

Supported Datasets

• ADE20k
• 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}},
}