Zum Inhalt springen

ModelAufgelistetExtern

Softcon

The official model release of SoftCon: Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining (TGRS 2024).

Quellehuggingface.co/wangyi111/softcon/tree/bae909781911f8ec034b4b959992fae17b973c0c

ArtOtherBasismodellfacebook/dinov2-baseVersionRevision bae9097

Modellquelle

Art: Other
Dateigröße: 82,3–333 MB
Basismodell: facebook/dinov2-base
Version: vRevision bae9097
Aktualisiert: 16. Sept. 2026
Downloads: 0
Quelle: Hugging Face

Quellenbeschreibung

The official model release of SoftCon: Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining (TGRS 2024).

Quellen

1 Quelle

Hugging FacePrimärVersion bae909781911f8ec034b4b959992fae17b973c0c

huggingface.co/wangyi111/softcon/tree/bae909781911f8ec034b4b959992fae17b973c0c

Verifiziert 16. Sept.

Modellartefakte

10 Artefakte

B13_rn50_softcon.pth

pth · 90,1 MB · SHA-256 5f64839824b5…22e6 · Hugging Face

B13_vitb14_softcon_enc.pth

pth · 333 MB · SHA-256 60209ab66cc1…720a · Hugging Face

B13_vitb14_softcon.pth

pth · 333 MB · SHA-256 1b9a18e22bdb…bded · Hugging Face

B13_vits14_softcon_enc.pth

pth · 85,4 MB · SHA-256 df3161d11b74…ee29 · Hugging Face

B13_vits14_softcon.pth

pth · 85,4 MB · SHA-256 05f9da0e999a…eb2e · Hugging Face

B2_rn50_softcon.pth

pth · 90,0 MB · SHA-256 b61c106107a1…4521 · Hugging Face

B2_vitb14_softcon_enc.pth

pth · 327 MB · SHA-256 288fbcf67dda…49d1 · Hugging Face

B2_vitb14_softcon.pth

pth · 327 MB · SHA-256 1e5eaf15f0b4…e698 · Hugging Face

B2_vits14_softcon_enc.pth

pth · 82,3 MB · SHA-256 e4b46888276e…f6b8 · Hugging Face

B2_vits14_softcon.pth

pth · 82,3 MB · SHA-256 bdac4d543e02…2298 · Hugging Face

Quellenauszüge

2 Auszüge

Readme16. Sept.huggingface.co/wangyi111/softcon

--- license: cc-by-4.0 datasets: - wangyi111/SSL4EO-S12 base_model: - facebook/dinov2-base - facebook/dinov2-small pipeline_tag: image-feature-extraction --- The official model release of SoftCon: [Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining](https://arxiv.org/abs/2405.20462) (TGRS 2024).

Note16. Sept.huggingface.co/wangyi111/softcon

Source context: 0 downloads · 3 likes · Pipeline image-feature-extraction · Repo wangyi111/softcon