Skysense
skysense-noncommercial-research
Model source
- Kind
- Other
- File size
- 2.44 GB
- Version
- vModel backbone hr
- Updated
- Oct 22, 2026
- Source
- Hugging Face
Source description
SkySense Backbone HR (unofficial mirror)
This repository is an unofficial mirror of the SkySense Backbone HR checkpoint
(skysense_model_backbone_hr.pth), redistributed only to allow convenient programmatic
download in benchmark tooling. All rights belong to the original authors.
Original source (authoritative for files and license): SkySense Checkpoints (Notion)
Important Notice
The pre-trained model weight and pre-training code are only available for non-commercial research. For any commercial use or cooperation, please contact Yansheng Li at Wuhan University (e-mail: [email protected]).
Citation
If you use these weights, cite the original work:
Guo et al., "SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery", CVPR 2024. arXiv:2312.10115.
Takedown
This mirror exists for research reproducibility. If the original authors wish it removed, it will be taken down on request.
Sources
1 source
Sources
1 sourceVerified Oct 22
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: other license_name: skysense-noncommercial-research license_link: https://www.notion.so/SkySense-Checkpoints-a7fcff6ce29a4647a08c7fe416910509 tags: - remote-sensing - earth-observation - foundation-model - skysense pipeline_tag: image-feature-extraction --- # SkySense Backbone HR (unofficial mirror) This repository is an **unofficial mirror** of the **SkySense Backbone HR** checkpoint (`skysense_model_backbone_hr.pth`), redistributed only to allow convenient programmatic download in benchmark tooling. All rights belong to the original authors. Original source (authoritative for files and license): [SkySense Checkpoints (Notion)](https://www.notion.so/SkySense-Checkpoints-a7fcff6ce29a4647a08c7fe416910509) ## Important Notice The pre-trained model weight and pre-training code are only available for **non-commercial research**. For any commercial use or cooperation, please contact Yansheng Li at Wuhan University (e-mail: [email protected]). ## Citation If you use these weights, cite the original work: > Guo et al., "SkySense: A Multi-Modal Remote Sensing Foundation Model Towards > Universal Interpretation for Earth Observation Imagery", CVPR 2024. > arXiv:2312.10115. ## Takedown This mirror exists for research reproducibility. If the original authors wish it removed, it will be taken down on request.
Source context: 0 downloads · 0 likes · Pipeline image-feature-extraction · Repo kshitijrajsharma/skysense
