About this document
2024 RADIOv1 by jrobert3 is a document available to read on EtoBox.
The paper presents AM-RADIO, a framework for distilling multiple pretrained vision foundation models (VFMs) like CLIP, DINOv2, and SAM into a single model called RADIO. This approach achieves state-of-the-art performance across various tasks while maintaining efficiency, allowing for unique features such as zero-shot classification and open vocabulary segmentation. The authors demonstrate that the resulting model outperforms individual teacher models and can be effectively utilized in downstream application
- Author
- jrobert3
- Language
- EN