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 …
When Foundation Models Meet Astronomical Data
Poster on evaluating visual foundation models (ViT, DINOv2, CLIP) for astronomical tasks such as galaxy morphological classification.
Galaxy Morphological Classification with Deep Learning
How deep learning is changing the way we classify galaxies, and the role of datasets like Galaxy Zoo.
When Foundation Models Meet Astronomical Data
ePoster — Session SS10: The impact of the rapidly evolving field of artificial intelligence on astrophysics research.