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

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Showing 201–225 of 597 papers

TitleStatusHype
SNIPS: Solving Noisy Inverse Problems StochasticallyCode1
Structurally Adaptive Multi-Derivative Regularization for Image Recovery from Sparse Fourier Samples—0
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference -- A Ubiquitous Systems Perspective—0
Learning Generative Prior with Latent Space Sparsity Constraints—0
Reinforcement Learning for Adaptive Video Compressive Sensing—0
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives—0
Weighed l1 on the simplex: Compressive sensing meets locality—0
CAIM: Cooperative Angle of Arrival Estimation using the Ising Method—0
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural NetworkCode1
Compressive lensless endoscopy with partial speckle scanning—0
Joint Matrix Completion and Compressed Sensing for State Estimation in Low-observable Distribution System—0
Newton-Type Optimal Thresholding Algorithms for Sparse Optimization Problems—0
Distributed Video Adaptive Block Compressive Sensing—0
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air—0
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton—0
ISTA-Net++: Flexible Deep Unfolding Network for Compressive SensingCode1
Untrained networks for compressive lensless photographyCode1
Improved Coherence Index-Based Bound in Compressive Sensing—0
A Probabilistic Bayesian Approach to Recover R_2^* map and Phase Images for Quantitative Susceptibility Mapping—0
Generalization Bounds for Sparse Random Feature ExpansionsCode0
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive SensingCode1
OpenICS: Open Image Compressive Sensing Toolbox and BenchmarkCode1
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
Measuring Robustness in Deep Learning Based Compressive SensingCode1
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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