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DINOSAR

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sar
remote-sensing
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Add DINOSAR project homepage

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@@ -20,7 +20,7 @@ DINOSAR learns transferable representations from single-channel synthetic apertu
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  **Paper:** *DINOSAR: Large-Scale SAR Self-Supervised Pretraining with Content-Aware View Construction*
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  **Status:** Submitted to the **International Journal of Digital Earth (IJDE)**.
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- [UniSAR-7M dataset](https://huggingface.co/datasets/YTang/UniSAR-7M) 路 [Pretrained checkpoints](#released-checkpoints) 路 [Citation](#citation)
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  [![DINOSAR pretraining framework: content-aware multi-crop, EMA teacher鈥搒tudent encoders, and DINO, iBOT, and KoLeo objectives.](assets/framework_overview.png)](assets/framework_overview.png)
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  **Paper:** *DINOSAR: Large-Scale SAR Self-Supervised Pretraining with Content-Aware View Construction*
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  **Status:** Submitted to the **International Journal of Digital Earth (IJDE)**.
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+ [Project homepage](https://ehehe.cn/DINOSAR/) 路 [UniSAR-7M dataset](https://huggingface.co/datasets/YTang/UniSAR-7M) 路 [Pretrained checkpoints](#released-checkpoints) 路 [Citation](#citation)
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  [![DINOSAR pretraining framework: content-aware multi-crop, EMA teacher鈥搒tudent encoders, and DINO, iBOT, and KoLeo objectives.](assets/framework_overview.png)](assets/framework_overview.png)
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