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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 101–150 of 597 papers

TitleStatusHype
An Efficient Method for Robust Projection Matrix DesignCode0
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRICode0
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent VariablesCode0
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable GuaranteesCode0
Finer Metagenomic Reconstruction via Biodiversity OptimizationCode0
Compressive Closeness in NetworksCode0
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk EstimateCode0
DR2-Net: Deep Residual Reconstruction Network for Image Compressive SensingCode0
The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive VideoCode0
Towards Real-time Video Compressive Sensing on Mobile DevicesCode0
Difference of Convolution for Deep Compressive SensingCode0
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural NetworkCode0
Flexible Intelligent Metasurface-Aided Wireless Communications: Architecture and PerformanceCode0
Deep Geometric Distillation Network for Compressive Sensing MRICode0
Deep Decomposition Learning for Inverse Imaging ProblemsCode0
Deep Regularized Compound Gaussian Network for Solving Linear Inverse ProblemsCode0
CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive SensingCode0
Covariance Estimation from Compressive Data Partitions using a Projected Gradient-based AlgorithmCode0
DeepBinaryMask: Learning a Binary Mask for Video Compressive SensingCode0
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive ImagingCode0
Learning to compress and search visual data in large-scale systemsCode0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
Perceptual Compressive SensingCode0
Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences—0
Compressive Sensing and Morphology Singular Entropy-Based Real-time Secondary Voltage Control of Multi-area Power Systems—0
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI—0
Compressive sensing adaptation for polynomial chaos expansions—0
Compressive Scanning Transmission Electron Microscopy—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
A Framework for Super-Resolution of Scalable Video via Sparse Reconstruction of Residual Frames—0
Compressive radio-interferometric sensing with random beamforming as rank-one signal covariance projections—0
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy—0
Asynchronous Multi Agent Active Search—0
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors—0
Compressive phase-only filtering at extreme compression rates—0
A Survey: Non-Orthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC—0
A fast patch-dictionary method for whole image recovery—0
Active Search for Sparse Signals with Region Sensing—0
Compressive Pattern Matching on Multispectral Data—0
Compressive neural representation of sparse, high-dimensional probabilities—0
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach—0
Compressively Sensed Image Recognition—0
A Parallel Compressive Imaging Architecture for One-Shot Acquisition—0
A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices—0
Compressive Light Field Reconstructions using Deep Learning—0
Compressive lensless endoscopy with partial speckle scanning—0
A Novel Radar Constant False Alarm Rate Detection Algorithm Based on VAMP Deep Unfolding—0
Compressive Hyperspectral Imaging with Side Information—0
A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography—0
A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors—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