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Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 71–80 of 216 papers

TitleStatusHype
Do Neural Networks for Segmentation Understand Insideness?Code0
Deep Unrolling for Magnetic Resonance Fingerprinting—0
Mixed X-Ray Image Separation for Artworks with Concealed Designs—0
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI—0
Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light VisionCode0
Model-Value Inconsistency as a Signal for Epistemic Uncertainty—0
Improved Model based Deep Learning using Monotone Operator Learning (MOL)—0
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP—0
On Training Implicit ModelsCode0
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DFRSC-3FramesAverage PSNR (dB)34.48—Unverified
2QRSC-5FramesAverage PSNR (dB)33.5—Unverified
3DFRSC-2FramesAverage PSNR (dB)33.39—Unverified
4JAMNet-2FramesAverage PSNR (dB)32.93—Unverified
5AdaRSC-3FramesAverage PSNR (dB)28.23—Unverified
6SUNet-2FramesAverage PSNR (dB)27.76—Unverified
7JCDAverage PSNR (dB)25.59—Unverified
8DSUNAverage PSNR (dB)25.21—Unverified