likyoo
/

Open-CD_Model_Zoo

 ---
 license: apache-2.0
+pipeline_tag: image-segmentation
+library_name: OpenMMLab
 ---
+Pre-trained models for [Open-CD](https://github.com/likyoo/open-cd).
+<div align="center">
+  <img src="resources/opencd-logo.png" width="600"/>
+</div>
+------
+<div align="center">
+<a href="https://arxiv.org/abs/2407.15317"><img src="https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Farxiv.org%2Fabs%2F2407.15317&count_bg=%23FF0000&title_bg=%23555555&icon=arxiv.svg&icon=&icon_color=%23E7E7E7&title=Technical+Report&edge_flat=false"/></a>
+<a href="https://github.com/likyoo/open-cd"><img src="https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Flikyoo%2Fopen-cdA&count_bg=%2379C83D&title_bg=%23555555&icon=github.svg&icon_color=%23E7E7E7&title=Github&edge_flat=false"/></a>
+<a href="https://huggingface.co/likyoo/Open-CD_Model_Zoo"><img src="https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fhuggingface.co%2Flikyoo%2FOpen-CD_Model_Zoo&count_bg=%23684BD3&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=%F0%9F%A4%97%20Hugging%20Face&edge_flat=false"/></a>
+</div>
+## Introduction
+Open-CD is an open source change detection toolbox based on a series of open source general vision task tools.
+## News
+- 4/11/2025 - [MTKD](https://github.com/circleLZY/MTKD-CD) method and [JL1-CD](https://github.com/circleLZY/MTKD-CD) dataset are supported. Open-CD Technical Report is updated to v1.1.
+- 7/23/2024 - **Open-CD Technical Report v1.0 is released on [arXiv](https://arxiv.org/abs/2407.15317), thanks to all contributors! Feel free to join us!** 💥💥💥
+- 6/29/2024 - [ChangeStar](https://github.com/Z-Zheng/ChangeStar) and [FarSeg](https://github.com/Z-Zheng/FarSeg) are supported.
+- 6/20/2024 - We launch the **[Open-CD Technical Report Plan](https://github.com/likyoo/open-cd/tree/main/projects/open-cd_technical_report)**, don't hesitate to join us!!! 💥💥💥
+- 6/17/2024 - [CGNet](https://github.com/ChengxiHAN/CGNet-CD) is supported.
+- 2/10/2024 - Open-CD is upgraded to v1.1.0. [BAN](https://github.com/likyoo/BAN), [TTP](https://github.com/KyanChen/TTP) and [LightCDNet](https://github.com/NightSongs/LightCDNet) is supported. The inference API is added.
+- 4/21/2023 - Open-CD v1.0.0 is released in 1.x branch, based on OpenMMLab 2.0 ! PyTorch 2.0 is also supported ! Enjoy it !
+- 3/14/2023 - Open-CD is upgraded to v0.0.3. Semantic Change Detection (SCD) is supported !
+- 11/17/2022 - Open-CD is upgraded to v0.0.2, requiring a higher version of the MMSegmentation dependency.
+- 9/28/2022 - The code, pre-trained models and logs of [ChangerEx](https://github.com/likyoo/open-cd/tree/main/configs/changer) are available. :yum:
+- 9/20/2022 - Our paper [Changer: Feature Interaction is What You Need for Change Detection](https://arxiv.org/abs/2209.08290) is available!
+- 7/30/2022 - Open-CD is publicly available!
+## Benchmark and model zoo
+Supported toolboxes:
+- [x] [OpenMMLab Toolkits](https://github.com/open-mmlab)
+- [x] [pytorch-image-models](https://github.com/rwightman/pytorch-image-models)
+- [ ] ...
+Supported change detection model:
+(_The code of some models are borrowed directly from their official repositories._)
+- [x] [FC-EF (ICIP'2018)](configs/fcsn)
+- [x] [FC-Siam-diff (ICIP'2018)](configs/fcsn)
+- [x] [FC-Siam-conc (ICIP'2018)](configs/fcsn)
+- [x] [STANet (RS'2020)](configs/stanet)
+- [x] [IFN (ISPRS'2020)](configs/ifn)
+- [x] [SNUNet (GRSL'2021)](configs/snunet)
+- [x] [BiT (TGRS'2021)](configs/bit)
+- [x] [ChangeStar (ICCV'2021)](configs/changestar)
+- [x] [ChangeFormer (IGARSS'22)](configs/changeformer)
+- [x] [TinyCD (NCA'2023)](configs/tinycd)
+- [x] [Changer (TGRS'2023)](configs/changer)
+- [x] [HANet (JSTARS'2023)](configs/hanet)
+- [x] [TinyCDv2 (Under Review)](configs/tinycd_v2)
+- [x] [LightCDNet (GRSL'2023)](configs/lightcdnet)
+- [x] [CGNet (JSTARS'2023)](configs/cgnet)
+- [x] [BAN (TGRS'2024)](configs/ban)
+- [x] [TTP (arXiv'2023)](configs/ttp)
+- [x] [MTKD (arXiv'2025)](configs/mtkd)
+- [ ] ...
+Supported datasets: | [Descriptions](https://github.com/wenhwu/awesome-remote-sensing-change-detection)
+- [x] [LEVIR-CD](https://justchenhao.github.io/LEVIR/)
+- [x] [WHU-CD](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html)
+- [x] [S2Looking](https://github.com/S2Looking/Dataset)
+- [x] [SVCD](https://drive.google.com/file/d/1GX656JqqOyBi_Ef0w65kDGVto-nHrNs9/edit)
+- [x] [DSIFN](https://github.com/GeoZcx/A-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images/tree/master/dataset)
+- [x] [CLCD](https://github.com/liumency/CropLand-CD)
+- [x] [RSIPAC](https://engine.piesat.cn/ai/autolearning/index.html#/dataset/detail?key=8f6c7645-e60f-42ce-9af3-2c66e95cfa27)
+- [x] [SECOND](http://www.captain-whu.com/PROJECT/)
+- [x] [Landsat](https://figshare.com/articles/figure/Landsat-SCD_dataset_zip/19946135/1)
+- [x] [BANDON](https://github.com/fitzpchao/BANDON)
+- [x] [JL1-CD](https://github.com/circleLZY/MTKD-CD)
+- [ ] ...
+## Usage
+[Docs](https://github.com/open-mmlab/mmsegmentation/tree/master/docs)
+Please refer to [get_started.md](https://github.com/open-mmlab/mmsegmentation/blob/master/docs/en/get_started.md#installation) in mmseg.
+A Colab tutorial is also provided. You may directly run on [Colab](https://colab.research.google.com/drive/1puZY5R8fwlL6um6pHbgbM1NTYZUXdK2J?usp=sharing). (thanks to [@Agustin](https://github.com/AgustinNormand) for this demo) [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1puZY5R8fwlL6um6pHbgbM1NTYZUXdK2J?usp=sharing)
+#### Install
+```
+# Install OpenMMLab Toolkits as Python packages
+pip install -U openmim
+mim install mmengine
+mim install "mmcv>=2.0.0"
+mim install "mmpretrain>=1.0.0rc7"
+pip install "mmsegmentation>=1.2.2"
+pip install "mmdet>=3.0.0"
+```
+```
+git clone https://github.com/likyoo/open-cd.git
+cd open-cd
+pip install -v -e .
+```
+For more details, please see [here](https://github.com/likyoo/open-cd/blob/main/docs/install.md).
+#### Train
+```
+python tools/train.py configs/changer/changer_ex_r18_512x512_40k_levircd.py --work-dir ./changer_r18_levir_workdir
+```
+#### Test
+```
+# get .png results
+python tools/test.py configs/changer/changer_ex_r18_512x512_40k_levircd.py changer_r18_levir_workdir/latest.pth --show-dir tmp_infer
+# get metrics
+python tools/test.py configs/changer/changer_ex_r18_512x512_40k_levircd.py changer_r18_levir_workdir/latest.pth
+```
+#### Infer
+Please refer [inference](https://github.com/likyoo/open-cd/blob/main/docs/inference.md) doc.
+## Citation
+If you find this project useful in your research, please cite:
+```bibtex
+@article{opencd,
+  title   = {{Open-CD}: A Comprehensive Toolbox for Change Detection},
+  author  = {Li, Kaiyu and Jiang, Jiawei and Codegoni, Andrea and Han, Chengxi and Deng, Yupeng and Chen, Keyan and Zheng, Zhuo and
+             Chen, Hao and Zou, Zhengxia and Shi, Zhenwei and Fang, Sheng and Meng, Deyu and Wang, Zhi and Cao, Xiangyong},
+  journal= {arXiv preprint arXiv:2407.15317},
+  year={2024}
+}
+```
+You might also consider citing:
+```bibtex
+@ARTICLE{10438490,
+  author={Li, Kaiyu and Cao, Xiangyong and Meng, Deyu},
+  journal={IEEE Transactions on Geoscience and Remote Sensing},
+  title={A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection},
+  year={2024},
+  volume={},
+  number={},
+  pages={1-1},
+  keywords={Adaptation models;Task analysis;Data models;Computational modeling;Feature extraction;Transformers;Tuning;Change detection;foundation model;visual tuning;remote sensing image processing;deep learning},
+  doi={10.1109/TGRS.2024.3365825}}
+@ARTICLE{10129139,
+  author={Fang, Sheng and Li, Kaiyu and Li, Zhe},
+  journal={IEEE Transactions on Geoscience and Remote Sensing},
+  title={Changer: Feature Interaction is What You Need for Change Detection},
+  year={2023},
+  volume={61},
+  number={},
+  pages={1-11},
+  doi={10.1109/TGRS.2023.3277496}}
+```
+## License
+Open-CD is released under the Apache 2.0 license.