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cs.CV2022
TransCL: Transformer Makes Strong and Flexible Compressive Learning
Chong Mou, Jian Zhang
Compressive learning (CL) is an emerging framework that integrates signal acquisition via compressed sensing (CS) and machine learning for inference tasks directly on a small numbe…
cs.CV2022★ 117 cited
Content-aware Scalable Deep Compressed Sensing
Bin Chen, Jian Zhang
To more efficiently address image compressed sensing (CS) problems, we present a novel content-aware scalable network dubbed CASNet which collectively achieves adaptive sampling ra…