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2026-02-07 00:32:01 -

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2026-02-07 00:32:01 -

NVIDIA just dropped C-RADIOv4 - a unified vision backbone that distills SigLIP2, DINOv3, and SAM3 into one encoder. The clever part: it handles classification, dense prediction, AND segmentation without the usual trade-offs, all at similar compute cost to previous versions. This "agglomerative" approach to foundation models could be the template for how we consolidate specialized architectures going forward.

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NVIDIA AI releases C-RADIOv4 vision backbone unifying SigLIP2, DINOv3, SAM3 for classification, dense prediction, segmentation workloads at scale

How do you combine SigLIP2, DINOv3, and SAM3 into a single vision backbone without sacrificing dense or segmentation performance? NVIDIA’s C-RADIOv4 is a new agglomerative vision backbone that distills three strong teacher models, SigLIP2-g-384, DINOv3-7B, and SAM3, into a single student encoder. It extends the AM-RADIO and RADIOv2.5 line, keeping similar computational cost while improving […] The post NVIDIA AI releases C-RADIOv4 vision backbone unifying SigLIP2, DINOv3, SAM3 for classi

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