computer-vision-19
Compressive Sensing
3260 papers • 126 benchmarks • 313 datasets
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
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Benchmarks
These leaderboards are used to track progress in compressive-sensing-19
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Actions
Set5
Set5
BSDS100 - 2x upscaling
BSDS100 - 2x upscaling
Urban100 - 2x upscaling
Libraries
iUse these libraries to find compressive-sensing-19 models and implementations
3 papers 15
Datasets
No datasets available.
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