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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...

TipoOtherModelo baseQwen/Qwen-VLVersiónRevision 13befaeCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
378 MB–1,45 GB
Modelo base
Qwen/Qwen-VL
Versión
vRevision 13befae
Actualizado
16 sept 2026
Descargas
0
Fuente
Hugging Face

Descripción de la fuente

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}}
}

Fuentes

1 fuente
Hugging FacePrincipalVersión 13befae810fddb83390141139689537e163de651
huggingface.co/fluorites/SemiEarth/tree/13befae810fddb83390141139689537e163de651

Verificado 1 sept

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Artefactos del modelo

4 artefactos

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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Extractos de fuentes

2 extractos

--- 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