Science Score: 67.0%
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✓codemeta.json file
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✓DOI references
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Links to: arxiv.org, ieee.org -
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○Scientific vocabulary similarity
Low similarity (9.8%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: dyzy41
- License: apache-2.0
- Language: Python
- Default Branch: master
- Size: 6.34 MB
Statistics
- Stars: 18
- Watchers: 1
- Forks: 0
- Open Issues: 4
- Releases: 0
Metadata Files
README.md
The Pytorch implementation for: “EfficientCD: A New Strategy For Change Detection Based With Bi-temporal Layers Exchanged, Sijun Dong, Yuwei Zhu, Geng Chen, Xiaoliang Meng::yum::yum:
EfficientCD has been accepted in IEEE TGRS
Requirement
Revised parameters
check the configs
Training, Test and Visualization Process
bash
bash tools/train.sh
EfficientCD Pretrained Weights And Test Results
LEVIR-CD: 链接：https://pan.baidu.com/s/1epOgO-cw1gDsLdKwnb_Etw 提取码：k7hu
(This experimental setting is different from the experimental setting description of the LEVIR-CD dataset in the original paper. It adopts the same experimental setting method as the CLCD dataset, using random cutting training and sliding window prediction.)
WHUCD: 链接：https://pan.baidu.com/s/12OCdDemhidzNw1jJUwCA 提取码：u1md
CLCD: 链接: https://pan.baidu.com/s/1Ha4VR2KNhY0Mi7uaFinmWQ 提取码: viqe
Citation
If you use this code for your research, please cite our papers.
@ARTICLE{10608163,
author={Dong, Sijun and Zhu, Yuwei and Chen, Geng and Meng, Xiaoliang},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={EfficientCD: A New Strategy For Change Detection Based With Bi-temporal Layers Exchanged},
year={2024},
volume={},
number={},
pages={1-1},
keywords={Feature extraction;Remote sensing;Task analysis;Computational modeling;Transformers;Biological system modeling;Land surface;Change detection;feature interaction;Euclidean distance},
doi={10.1109/TGRS.2024.3433014}}
Acknowledgments
Our code is inspired and revised by open-mmlab/mmsegmentation, timm. Thanks for their great work!!
Owner
- Name: dyzy
- Login: dyzy41
- Kind: user
- Location: wuhan
- Company: whu
- Repositories: 1
- Profile: https://github.com/dyzy41
cv student
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - name: "MMSegmentation Contributors" title: "OpenMMLab Semantic Segmentation Toolbox and Benchmark" date-released: 2020-07-10 url: "https://github.com/open-mmlab/mmsegmentation" license: Apache-2.0
GitHub Events
Total
- Issues event: 3
- Watch event: 13
- Issue comment event: 10
Last Year
- Issues event: 3
- Watch event: 13
- Issue comment event: 10
Dependencies
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- albumentations >=0.3.2
- docutils ==0.16.0
- myst-parser *
- sphinx ==4.0.2
- sphinx_copybutton *
- sphinx_markdown_tables *
- urllib3 <2.0.0
- mmcv >=2.0.0rc4,<2.2.0
- mmengine >=0.5.0,<1.0.0
- ftfy *
- regex *
- cityscapesscripts *
- diffusers *
- einops ==0.3.0
- imageio ==2.9.0
- imageio-ffmpeg ==0.4.2
- invisible-watermark *
- kornia ==0.6
- nibabel *
- omegaconf ==2.1.1
- pudb ==2019.2
- pytorch-lightning ==1.4.2
- streamlit >=0.73.1
- test-tube >=0.7.5
- timm *
- torch-fidelity ==0.3.0
- torchmetrics ==0.6.0
- transformers ==4.19.2
- mmcv >=2.0.0rc1,<2.1.0
- mmengine >=0.4.0,<1.0.0
- prettytable *
- scipy *
- torch *
- torchvision *
- matplotlib *
- numpy *
- packaging *
- prettytable *
- scipy *
- codecov * test
- flake8 * test
- ftfy * test
- interrogate * test
- pytest * test
- regex * test
- xdoctest >=0.10.0 test
- yapf * test