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Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 211–216 of 216 papers

TitleStatusHype
Learning to Co-Generate Object Proposals With a Deep Structured Network—0
Generating images with recurrent adversarial networksCode0
Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification—0
Deformable Part Models are Convolutional Neural NetworksCode0
Slice Normalized Dynamic Markov Logic Networks—0
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference—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