Update README.md

README.md

@@ -19,6 +19,9 @@ tags:
 
 > **RESISC45-SigLIP2** is a vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for **multi-label** image classification. It is specifically trained to recognize and tag multiple land use and land cover scene categories from the **RESISC45** dataset using the **SiglipForImageClassification** architecture.
 
+> [!note]
+*SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features* https://arxiv.org/pdf/2502.14786
+
 ```py
 Classification Report:
                        precision    recall  f1-score   support