A framework to identify and convert foldable layer normalizations to RMSNorm for exact equivalence and faster inference in deep neural networks.
and Lo, Wan-Yen and Dollar, Piotr and Girshick, Ross , title =
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Depth Pro is a fast foundation model for zero-shot metric monocular depth estimation that produces sharp high-resolution depth maps with absolute scale using a multi-scale vision transformer.
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Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Depth Pro is a fast foundation model for zero-shot metric monocular depth estimation that produces sharp high-resolution depth maps with absolute scale using a multi-scale vision transformer.