Datasets:
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CPRS is the data behind FBA. It brings together remote sensing image–caption pairs and instruction dialogues for coastal harbor understanding.
This page is a preview with examples to explore. The full data and preparation notes will follow after paper acceptance.
先放一些样例,方便大家看看。论文录用后,会陆续补上完整数据和整理方法。
What’s inside
About 810K supervision records, organized in three layers:
| Layer | Records | Focus |
|---|---|---|
| RS-Anchor | 569,853 image-caption pairs | Overhead imagery and remote sensing language |
| Bridging-Conv | 187,296 SFT records | Related scenes across RGB, SAR, PAN, and NIR |
| Scenario-EG | 53,000 SFT records | Harbor questions, spatial reasoning, localization, and reports |
Browse some examples
We’ve picked eight scenes, two per sensor, for the interactive gallery. Pick an image, switch between questions, and explore the visual clues behind each answer.
| RGB | SAR |
|---|---|
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| PAN | NIR |
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You can find the images in the GitHub examples, or visit HarborEval for evaluation examples.
Cite the paper
@article{zong2026fba,
title = {Filling Before Advancing: Capability-Gap-Driven Post-Training for Scenario-Specialized Remote Sensing MLLMs},
author = {Zong, Yuheng and Wang, Minghua and Zhao, Xin and Zhan, Zhi-Hui and Plaza, Antonio and Benediktsson, Jon Atli},
journal = {arXiv preprint arXiv:2607.22205},
year = {2026},
doi = {10.48550/arXiv.2607.22205},
url = {https://arxiv.org/abs/2607.22205}
}
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Paper for zongling/CPRS
Paper • 2607.22205 • Published



