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We used DINOv2 as the backbone of our RF-DETR model, which is SOTA on realtime object detection and segmentation: https://github.com/roboflow/rf-detr

It makes a great target to distill SAM3 to.



> It makes a great target to distill SAM3 to.

Could you expand on that? Do you mean you're starting with the pretrained DINO model and then using SAM3 to generate training data to make DINO into a segmentation model? Do you freeze the DINO weights and add a small adapter at the end to turn its output into segmentations?




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