SemiEarth
If you find it useful, please consider citing: @article{wang2026vision, title = {Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images}, author = {Wang, Shanwen and Sun, Xin...
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- 378 MB–1,45 GB
- Basismodell
- Qwen/Qwen-VL
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- vRevision 13befae
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- 16. Sept. 2026
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- Hugging Face
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Citation
If you find it useful, please consider citing:
@article{wang2026vision,
title = {Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images},
author = {Wang, Shanwen and Sun, Xin and Hong, Danfeng and Zhou, Fei},
journal = {arXiv preprint arXiv:2602.00202},
year = {2026},
month = feb,
note = {Available at \url{https://arxiv.org/abs/2602.00202}}
}
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1 QuelleVerifiziert 1. Sept.
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Quellenauszüge
2 Auszüge--- license: apache-2.0 datasets: - fluorites/SemiEarth base_model: - Qwen/Qwen-VL - facebook/dinov2 pipeline_tag: image-segmentation library_name: transformers tags: - remote sensing - vision language model - semi-supervised language: - en - zh metrics: - miou new_version: fluorites/SemiEarth-v1.0 --- # Citation If you find it useful, please consider citing: ``` @article{wang2026vision, title = {Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images}, author = {Wang, Shanwen and Sun, Xin and Hong, Danfeng and Zhou, Fei}, journal = {arXiv preprint arXiv:2602.00202}, year = {2026}, month = feb, note = {Available at \url{https://arxiv.org/abs/2602.00202}} } ```
Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Library transformers · Repo fluorites/SemiEarth
