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

Showing 201250 of 597 papers

TitleStatusHype
SNIPS: Solving Noisy Inverse Problems StochasticallyCode1
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference -- A Ubiquitous Systems Perspective0
Structurally Adaptive Multi-Derivative Regularization for Image Recovery from Sparse Fourier Samples0
Learning Generative Prior with Latent Space Sparsity Constraints0
Reinforcement Learning for Adaptive Video Compressive Sensing0
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives0
Weighed l1 on the simplex: Compressive sensing meets locality0
CAIM: Cooperative Angle of Arrival Estimation using the Ising Method0
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural NetworkCode1
Compressive lensless endoscopy with partial speckle scanning0
Joint Matrix Completion and Compressed Sensing for State Estimation in Low-observable Distribution System0
Newton-Type Optimal Thresholding Algorithms for Sparse Optimization Problems0
Distributed Video Adaptive Block Compressive Sensing0
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air0
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton0
ISTA-Net++: Flexible Deep Unfolding Network for Compressive SensingCode1
Untrained networks for compressive lensless photographyCode1
Improved Coherence Index-Based Bound in Compressive Sensing0
A Probabilistic Bayesian Approach to Recover R_2^* map and Phase Images for Quantitative Susceptibility Mapping0
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
Faster Maximum Feasible Subsystem Solutions for Dense Constraint Matrices0
Study on Compressed Sensing of Action Potential0
Scalable Deep Compressive Sensing0
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees0
Covariance Estimation from Compressive Data Partitions using a Projected Gradient-based AlgorithmCode0
On the Fourier transform of a quantitative trait: Implications for compressive sensing0
Selective Sensing: A Data-driven Nonuniform Subsampling Approach for Computation-free On-Sensor Data Dimensionality Reduction0
Understanding Adversarial Attacks on Autoencoders0
Estimating Sparsity Level for Enabling Compressive Sensing of Wireless Channels and Spectra in 5G and Beyond0
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction0
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy0
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks0
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network LatencyCode1
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective0
Compression Boosts Differentially Private Federated Learning0
Defect Detection by MIMO Wireless Sensing based on Weighted Low-Rank plus Sparse Recovery0
Sampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon's Theorem Meets Compressive Sensing0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective0
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk EstimateCode0
Compressive Sensing Based Situational Awareness and Sensor Placement for DC Microgrids with Relatively Fixed Operation Patterns0
Model-based Decentralized Bayesian Algorithm for Distributed Compressed Sensing0
AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed SensingCode1
Fast Uplink Grant-Free NOMA with Sinusoidal Spreading Sequences0
Far-Field Minimum-Fuel Spacecraft Rendezvous using Koopman Operator and _2/_1 Optimization0
Performance Indicator in Multilinear Compressive Learning0
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Benchmark Results

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