pytorch-image-models
pytorch-image-models copied to clipboard
[FEATURE] Add ViT weights: RADIO
https://github.com/NVlabs/RADIO
The code and model weights of paper [CVPR 2024] AM-RADIO: Agglomerative Vision Foundation Model - Reduce All Domains Into One has been released by Nvidia
RADIO , a new vision foundation model (actually a new vit pretrained weight), excels across visual domains, serving as a superior replacement for vision backbones. Integrating CLIP variants, DINOv2, and SAM through distillation, it preserves unique features like text grounding and segmentation correspondence.
Does RADIO have ImageNet-1k heads?
Does RADIO have ImageNet-1k heads?
I haven't seen it yet. But I notice the new RADIOv2.5 model is released, which merged knowledge from DFN CLIP, DINOv2, SigLIP, and SAM through multi-teacher distillation. It looks very practical in downstream task. https://github.com/NVlabs/RADIO/blob/main/RADIOv2.5_tech_report.md