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.
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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