How to finetune DINOv2 for astronmy?
This study evaluates the performance of existing visual foundation models, based on ViT, SwinV2, BEiT or DINOv2, for astronomical applications, particularly galaxy morphological …
This study evaluates the performance of existing visual foundation models, based on ViT, SwinV2, BEiT or DINOv2, for astronomical applications, particularly galaxy morphological …
Talk on evaluating and fine-tuning DINOv2 and other visual foundation models for galaxy morphological classification.
We present AstroLLaVA, a vision language model for astronomy that enables interaction with astronomical imagery through natural dialogue. By fine-tuning the LLaVA model on a …
An overview of foundation models applied to astronomical data analysis.
Poster on evaluating visual foundation models (ViT, DINOv2, CLIP) for astronomical tasks such as galaxy morphological classification.
ePoster — Session SS10: The impact of the rapidly evolving field of artificial intelligence on astrophysics research.