3 citations · 5 across the 11 of their papers we have counts for
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cs.CV2023
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One
Mike Ranzinger, Greg Heinrich, Jan Kautz +1
A handful of visual foundation models (VFMs) have recently emerged as the backbones for numerous downstream tasks. VFMs like CLIP, DINOv2, SAM are trained with distinct objectives,…
cs.CV2023★ 3 cited
ViR: Towards Efficient Vision Retention Backbones
Ali Hatamizadeh, Michael Ranzinger, Shiyi Lan +3
Vision Transformers (ViTs) have attracted a lot of popularity in recent years, due to their exceptional capabilities in modeling long-range spatial dependencies and scalability for…