lambert-x/RVC_Segmentation

Winning solution to the semantic segmentation task on Robust Vision Challenge - ECCV 2022

1st Place Solution to The Robust Vision Challenge 2022 Semantic Segmentation Track

This repository includes the official pytorch implementation of the winning solution in Robust Vision Challenge 2022 (in conjunction with ECCV 2022) - Semantic Segmentation Track. Please refer to the report for some details.

Junfei Xiao, Zhichao Xu, ‪Shiyi Lan‬, ‪Zhiding Yu‬, Alan Yuille, ‪Anima Anandkumar
Johns Hopkins University, NVIDIA, Fudan University
Tech. Report

@article{xiao2022rvcseg,
 title={1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track},
 author={Xiao, Junfei and Xu, Zhichao and Lan, Shiyi and Yu, Zhiding and Yuille, Alan and Anandkumar, Anima},
 journal={arXiv preprint arXiv:2210.12852},
 year={2022}
}

TO DO

• Upload codes and configs.

• Instructions for preparing datasets.

• Instructions for training and testing.

Installing Requirements

Please refer to FAN/segmentation

Preparing Datasets

You may refer to the instruction provided in the official github repo to prepare the datasets from scratch. A fully-processed version is also available at this link, which is for research purpose only. Please refer to the official usage rules of each dataset.

Citation

If you find our codes or techiques are useful, please cite our paper with the bibtex above.