All datasets / Kingdrone-Junjue
Kingdrone-Junjue/EarthVLSet
The declared licence (cc-by-nc-nd-4.0) is classified as having use restrictions.
- Declared licence
- cc-by-nc-nd-4.0, from the tagEvidence: README.md at bd8559d
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at bd8559d
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- Yes
Tasks
Citation text from the card
If you use EarthVL in your research, please cite our following papers.
```text
@article{wang2026earthvl,
title={EarthVL: A Progressive Earth Vision-Language Understanding and Generation Framework},
author={Wang, Junjue and Zhong, Yanfei and Chen, Zihang and Zheng, Zhuo and Ma, Ailong and Zhang, Liangpei},
journal={arXiv preprint arXiv:2601.02783},
year={2026}
}
@article{wang2024earthvqa,
title={EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering},
url={https://ojs.aaai.org/index.php/AAAI/article/view/28357},
DOI={10.1609/ai.v38i6.28357},
author={Wang, Junjue and Zheng, Zhuo and Chen, Zihang and Ma, Ailong and Zhong, Yanfei},
year={2024},
month={Mar.},
volume={38},
pages={5481-5489}}
@proceedings{wang2021loveda,
author = {Wang, Junjue and Zheng, Zhuo and Ma, Ailong and Lu, Xiaoyan and Zhong, Yanfei},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
editor = {J. Vanschoren and S. Yeung},
pages = {},
publisher = {Curran Associates, Inc.},
title = {LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation},
url = {https://datasets-benchmarks-proceedings.neurips.cc/paper_files/paper/2021/file/4e732ced3463d06de0ca9a15b6153677-Paper-round2.pdf},
volume = {1},
y
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dataset_licence({ "id": "Kingdrone-Junjue/EarthVLSet" })
signal: "restrictive"
stated_licence: "cc-by-nc-nd-4.0"
sources: 0