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most citedAll Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

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Showing 2018 · cs.CVShow all

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cs.CV2018★ 2 cited

New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution

Yijie Bei, Alex Damian, Shijia Hu +3

This work identifies and addresses two important technical challenges in single-image super-resolution: (1) how to upsample an image without magnifying noise and (2) how to preserv…