lightas / FedSeg

CVPR 2023 FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation

FedSeg

CVPR 2023 FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation

Datasets for Federated Learning Segmentation

Cityscapes: 链接: https://pan.baidu.com/s/15D-Eq0om1DFpsKFeuBB3sg 密码: 9cbm 链接: https://pan.baidu.com/s/1AF9HKEF9fpulBOds3p_ZPQ 密码: bvsa

CamVid: 链接: https://pan.baidu.com/s/1suB1zIQTNt02fqJBwdxMSA 密码: l343 链接: https://pan.baidu.com/s/1WksbT44mrylLptN4wKoxqA 密码: l610

PascalVOC: 链接: https://pan.baidu.com/s/1c03gu0SIUA62FC4403f9GQ 密码: 3d60

ADE20k: 链接: https://pan.baidu.com/s/13ypIWZFCa58oZT7cA3KWNA 密码: tps2

Training and Evaluation

Put the downloaded datasets into the folder 'data'

sh run_city.sh

Citation

@inproceedings{miao2023fedseg,
  title={FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation},
  author={Miao, Jiaxu and Yang, Zongxin and Fan, Leilei and Yang, Yi},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={8042--8052},
  year={2023}
}