Awesome

Beyond-Pixels

Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier (Accepted ECCV 2024)

Contact

If you have any questions, please email Prantik Howlader at phowlader@cs.stonybrook.edu.

Pretrained Backbone

ResNet-50 | ResNet-101 | Xception-65

├── ./pretrained
    ├── resnet50.pth
    ├── resnet101.pth
    └── xception.pth

Dataset

• Pascal: JPEGImages | SegmentationClass
• Cityscapes: leftImg8bit | gtFine

Please modify your dataset path in configuration files.

├── [Your Pascal Path]
    ├── JPEGImages
    └── SegmentationClass
    
├── [Your Cityscapes Path]
    ├── leftImg8bit
    └── gtFine
    

Usage

UniMatch + MPMC

# use torch.distributed.launch
sh scripts/train.sh

Citation

If you find this project useful, please consider citing:

@article{howlader2024beyond,
  title={Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier},
  author={Howlader, Prantik and Das, Srijan and Le, Hieu and Samaras, Dimitris},
  journal={arXiv preprint arXiv:2407.04036},
  year={2024}
}