Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing   Recent deep network-based compressive sensing (CS) methods have achieved
great success. However, most of them regard different sampling matrices as
different independent tasks and need to train a specific model for each target
sampling matrix. Such practices give rise to inefficiency in computing and
suffer from poor generalization ability. In this paper, we propose a novel
COntrollable Arbitrary-Sampling neTwork, dubbed COAST, to solve CS problems of
arbitrary-sampling matrices (including unseen sampling matrices) with one
single model. Under the optimization-inspired deep unfolding framework, our
COAST exhibits good interpretability. In COAST, a random projection
augmentation (RPA) strategy is proposed to promote the training diversity in
the sampling space to enable arbitrary sampling, and a controllable proximal
mapping module (CPMM) and a plug-and-play deblocking (PnP-D) strategy are
further developed to dynamically modulate the network features and effectively
eliminate the blocking artifacts, respectively. Extensive experiments on widely
used benchmark datasets demonstrate that our proposed COAST is not only able to
handle arbitrary sampling matrices with one single model but also to achieve
state-of-the-art performance with fast speed. The source code is available on
https://github.com/jianzhangcs/COAST.

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The categories of this paper are: math
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The categories of this paper are: chem-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: stat
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-th
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The categories of this paper are: acc-phys
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The categories of this paper are: comp-gas
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The categories of this paper are: nucl-ex
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-lat
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The categories of this paper are: cmp-lg
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The categories of this paper are: atom-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-ex
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The categories of this paper are: solv-int