SOTAVerified

Compressive Sensing

Compressive Sensing is a new signal processing framework for efficiently acquiring and reconstructing a signal that have a sparse representation in a fixed linear basis.

Source: Sparse Estimation with Generalized Beta Mixture and the Horseshoe Prior

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 461–470 of 597 papers

TitleStatusHype
Tuning Free Orthogonal Matching Pursuit—0
Two-pixel polarimetric camera by compressive sensing—0
Two-stage Geometric Information Guided Image Reconstruction—0
UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing—0
Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service—0
Understanding Adversarial Attacks on Autoencoders—0
Underwater Sound Speed Profile Construction: A Review—0
Unitary Approximate Message Passing for Matrix Factorization—0
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography—0
Unsupervised Sparse Unmixing of Atmospheric Trace Gases from Hyperspectral Satellite Data—0
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All datasetsSet11 cs=50%BSD68 CS=50%BSDS100 - 2x upscalingUrban100 - 2x upscaling

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DMP-DUN-Plus (4-step)Average PSNR42.82—Unverified
2AMPA-NetAverage PSNR40.32—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR36.33—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR35.95—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR35.86—Unverified