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| license: mit |
| language: |
| - en |
| tags: |
| - SAR |
| - Foundation_model |
| - ALOS-2 |
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| # Model weights for SAR-W-SimMIM |
| Model weigits for SimMIM pretrained with ALOS-2 data with SAR weighted loss, and finetuned model for Segmentation with JAXA-LULC labels |
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| By [Nevrez Imamoglu](https://github.com/nevrez)\*, [Ali Caglayan](https://acaglayan.github.io/)\*, [Toru Kouyama](https://sites.google.com/site/kouyamaterra/home). |
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| The repository includes both model weights: |
| - Pretrained model (encoder) with ALOS-2 SAR data with SimMIM Self-supervised pretraining way |
| - Finetuned model for downstream segmentation using JAXA-LULC |
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| https://github.com/gsvrg/SAR-W-SimMIM |
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| > *Nevrez Imamoglu and Ali Caglayan has contributed to this work (both research and repository) equally as co-first authors. |
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| ## Acknowledgements |
| This work supported by AIST policy-based budget project “R&D on Generative AI Foundation Models for the Physical Domain".The ALOS-2 original data are copy-righted by JAXA and provided under the JAXA-AIST agreement. We used ABCI 3.0 provided by AIST and AIST Solutions with support from “ABCI 3.0 Development Acceleration Use”. |
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| If you use this model and publish any work, presentation, or other thing, please state that source data for the foundation models are ALOS-2 and the ALOS-2 original data are copy-righted by JAXA and provided by JAXA under the JAXA-AIST agreement. |
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| license: [mit](https://huggingface.co/gsvrg/ALOS-2_FM/blob/main/License.md) |
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