SOTAVerified

Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 171–180 of 216 papers

TitleStatusHype
Multi-Channel Deep Networks for Block-Based Image Compressive SensingCode0
Learned Collaborative Stereo Refinement—0
Proposition d'un modèle pour l'optimisation automatique de boucles dans le compilateur Tiramisu : cas d'optimisation de déroulage—0
VS-Net: Variable splitting network for accelerated parallel MRI reconstructionCode0
Rethinking Formal Models of Partially Observable Multiagent Decision Making—0
A Review on Deep Learning in Medical Image Reconstruction—0
Model-based Deep Medical Imaging: the roadmap of generalizing iterative reconstruction model using deep learning—0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Learning Powerful Policies by Using Consistent Dynamics ModelCode0
Learning Structure-And-Motion-Aware Rolling Shutter Correction—0
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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