VLM4RSDet: Collaborative Optimization with Vision-Language Model for Enhancing Remote Sensing Object Detection

This repository is the official implementation of VLM4RSDet, is a novel collaborative training framework that leverages vision-language models to enhance traditional closed-set remote sensing object detectors without introducing any additional deployment overhead.

VLM4RSDet: Collaborative Optimization with Vision-Language Model for Enhancing Remote Sensing Object Detection
Shuohao Shi, Qiang Fang*, Xin Xu* (*Corresponding Author)

🔥 News

• 🚀 [2026/06/12] We have updated the VLM4RSDet github repository, and now you can test our model.
• 🚀 [2026/03/17] We released the camera-ready version of VLM4RSDet: Collaborative Optimization with Vision-Language Model for Enhancing Remote Sensing Object Detection.
• 🚀 [2026/02/21] VLM4RSDet has been accepted by CVPR'26.

Citation

Welcome to cite this project in your research.

@InProceedings{Shi_2026_CVPR,
    author = {Shi, Shuohao and Fang, Qiang and Xu, Xin},
    title = {VLM4RSDet: Collaborative Optimization with Vision-Language Model for Enhancing Remote Sensing Object Detection},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2026},
    pages = {18450-18460}
}

License

This project is licensed under the Apache License (Version 2.0).