Change Detection Models

Python library with Neural Networks for Change Detection based on PyTorch.

This project is inspired by segmentation_models.pytorch and built based on it. 😄

🌱 How to use

Please refer to local_test.py temporarily.

🔭 Models

Architectures

• Unet [paper]

• Unet++ [paper]

• MAnet [paper]

• Linknet [paper]

• FPN [paper]

• PSPNet [paper]

• PAN [paper]

• DeepLabV3 [paper]

• DeepLabV3+ [paper]

• UPerNet [paper]

• STANet [paper]

Encoders

The following is a list of supported encoders in the CDP. Select the appropriate family of encoders and click to expand the table and select a specific encoder and its pre-trained weights (encoder_name and encoder_weights parameters).

:truck: Dataset

• LEVIR-CD
• SVCD [google drive | baidu disk (x8gi)]
• ...

🏆 Competitions won with the library

change_detection.pytorch has competitiveness and potential in the change detection competitions. Here you can find competitions, names of the winners and links to their solutions.

:page_with_curl: Citing

@misc{likyoocdp:2021,
  Author = {Kaiyu Li, Fulin Sun, Xudong Liu},
  Title = {Change Detection Pytorch},
  Year = {2021},
  Publisher = {GitHub},
  Journal = {GitHub repository},
  Howpublished = {\url{https://github.com/likyoo/change_detection.pytorch}}
}

:books: Reference

• qubvel/segmentation_models.pytorch
• albumentations-team/albumentations
• open-mmlab/mmsegmentation
• wenhwu/awesome-remote-sensing-change-detection

:mailbox: Contact

⚡⚡⚡ I am trying to build this project, if you are interested, don't hesitate to join us!

👯👯👯 Contact me at likyoo@sdust.edu.cn or pull a request directly or join our WeChat group.