WEFT
Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation (AAAI, 2026)
Install / Use
/learn @CSYSI/WEFTREADME
(AAAI,2026) Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation
Yanguang Sun, Chao Wang, Jian Yang, Lei Luo<br />
Our work has been accepted for AAAI 2026. The relevant code and results will be updated gradually.
If you are interested in our work, please do not hesitate to contact us at Sunyg@njust.edu.cn via email.
<img width="1335" height="368" alt="image" src="https://github.com/user-attachments/assets/3140e10c-fe8b-45bb-9475-5f15e83dcd5a" /> <img width="1334" height="874" alt="image" src="https://github.com/user-attachments/assets/ef6ba5e2-e905-4370-8989-a835747e14d1" />Segmentation results
We provide the segmentation results of the proposed WEFT model under in Optical Remote Sensing Images.
WEFT_AAAI26_ORSIs [(https://pan.baidu.com/s/1ewSbkjKOQsusGDlpx2fk9A), PIN:t7xg]
Expend Applications
We provide the segmentation results of our WEFT method under in camouflage, natural and medical scenarios.
WEFT_AAAI26_COD/SOD/PS [(https://pan.baidu.com/s/1I8UFBVeBKFdhuSiAU8zg1A), PIN:wtxk]
Citation
If you use DPU-Former in your research or wish to refer to the baseline results, please use the following BibTeX entry.
@article{WEFT,
title={Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation},
author={Sun, Yanguang and Wang, Chao and Yang, Jian and Luo, Lei},
journal={arXiv preprint arXiv:2601.09108},
year={2026}
}
@article{WEFT,
title={Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation},
author={Sun, Yanguang and Wang, Chao and Yang, Jian and Luo, Lei},
journal={AAAI Conference on Artificial Intelligence (AAAI)},
year={2026}
}
Security Score
Audited on Mar 4, 2026
