SOTAVerified

Rolling Shutter Correction

Rolling Shutter Correction

Papers

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Showing 141–150 of 216 papers

TitleStatusHype
Closed-Loop Transcription via Convolutional Sparse Coding—0
Combining Internal and External Constraints for Unrolling Shutter in Videos—0
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints—0
Consistent Depth of Moving Objects in Video—0
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning—0
Deep Algorithm Unrolling for Biomedical Imaging—0
Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoising—0
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP—0
Deep learned SVT: Unrolling singular value thresholding to obtain better MSE—0
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation—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