Single-Temporal Supervised Object Change Detection
in Remote Sensing Imagery
Change is Everywhere Zhuo Zheng, Ailong Ma, Liangpei Zhang and Yanfei Zhong
byThis is an official implementation of STAR and ChangeStar in our ICCV 2021 paper Change is Everywhere: Single-Temporal Supervised Object Change Detection for High Spatial Resolution Remote Sensing Imagery.
We hope that STAR will serve as a solid baseline and help ease future research in weakly-supervised object change detection.
News
- 2021/09/24, ChangeStar has been included in microsoft/torchgeo!
- 2021/08/28, The code is available.
- 2021/07/23, The code will be released soon.
- 2021/07/23, This paper is accepted by ICCV 2021.
Features
- Learning a good change detector from single-temporal supervision.
- Strong baselines for bitemporal and single-temporal supervised change detection.
- A clean codebase for weakly-supervised change detection.
- Support both bitemporal and single-temporal supervised settings
Getting Started
EVer
Installpip install ever-beta==0.2.3
Requirements:
- pytorch >= 1.6.0
- python >=3.6
Prepare Dataset
ln -s </path/to/xView2> ./xView2
ln -s </path/to/LEVIR-CD> ./LEVIR-CD
Training and Evaluation under Single-Temporal Supervision
bash ./scripts/trainxView2/r50_farseg_changemixin_symmetry.sh
Training and Evaluation under Bitemporal Supervision
bash ./scripts/bisup_levircd/r50_farseg_changemixin.sh
Citation
If you use STAR or ChangeStar (FarSeg) in your research, please cite the following paper:
@inproceedings{zheng2021change,
title={Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery},
author={Zheng, Zhuo and Ma, Ailong and Zhang, Liangpei and Zhong, Yanfei},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={15193--15202},
year={2021}
}
@inproceedings{zheng2020foreground,
title={Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery},
author={Zheng, Zhuo and Zhong, Yanfei and Wang, Junjue and Ma, Ailong},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={4096--4105},
year={2020}
}
License
ChangeStar is released under the Apache License 2.0.
Copyright (c) Zhuo Zheng. All rights reserved.