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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...

TypeOtherModèle de baseQwen/Qwen-VLVersionRevision 13befaeCClasse

Source du modèle

Type
Other
Taille du fichier
378 MB–1,45 GB
Modèle de base
Qwen/Qwen-VL
Version
vRevision 13befae
Mis à jour
16 sept. 2026
Téléchargements
0
Source
Hugging Face

Description de la source

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}}
}

Sources

1 source
Hugging FacePrincipalVersion 13befae810fddb83390141139689537e163de651
huggingface.co/fluorites/SemiEarth/tree/13befae810fddb83390141139689537e163de651

Vérifié 1 sept.

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Artefacts du modèle

4 artefacts

SemiEarth_LoveDA_Base.pth

pth · 1,45 GB · SHA-256 4d6da5cb3bba…43f6 · Hugging Face

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SemiEarth_LoveDA_Small.pth

pth · 378 MB · SHA-256 be9c770cef76…1d6e · Hugging Face

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SemiEarth_Potsdam_Base.pth

pth · 1,45 GB · SHA-256 27e78e4953e1…232e · Hugging Face

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SemiEarth_Potsdam_Small.pth

pth · 378 MB · SHA-256 30bcd31977c7…a7ed · Hugging Face

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Extraits de sources

2 extraits

--- 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