Introduction
sssegmentation is a general framework for our research on strongly supervised semantic segmentation.
Documents
In English
https://sssegmentation.readthedocs.io/en/latest/
Supported
Supported Backbones
Supported Models
- FCN
- CE2P
- SETR
- CCNet
- DANet
- GCNet
- DMNet
- EncNet
- OCRNet
- DNLNet
- ANNNet
- EMANet
- PSPNet
- PSANet
- APCNet
- UPerNet
- Deeplabv3
- Segformer
- SemanticFPN
- NonLocalNet
- Deeplabv3Plus
Supported Datasets
- LIP
- ATR
- CIHP
- ADE20k
- MS COCO
- MHPv1&v2
- CityScapes
- Supervisely
- SBUShadow
- PASCAL VOC
- COCOStuff10k
- Pascal Context
Citation
If you use this framework in your research, please cite this project.
@misc{ssseg2020,
author = {Zhenchao Jin},
title = {SSSegmentation: A general framework for strongly supervised semantic segmentation},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/SegmentationBLWX/sssegmentation}},
}
References
[1]. https://github.com/open-mmlab/mmcv
[2]. https://github.com/open-mmlab/mmsegmentation