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Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 191–200 of 216 papers

TitleStatusHype
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar SystemsCode0
Unrolling of Deep Graph Total Variation for Image DenoisingCode0
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense TrafficCode0
Unrolling Particles: Unsupervised Learning of Sampling DistributionsCode0
Multi-Channel Deep Networks for Block-Based Image Compressive SensingCode0
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter CorrectionCode0
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed RepresentationsCode0
Neural Image Re-ExposureCode0
Understanding approximate and unrolled dictionary learning for pattern recoveryCode0
Fixed points of nonnegative neural networksCode0
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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