STP-DEQ-Net: A Deep Equilibrium Model Based on ISTA Method for Image Compressive Sensing
Author:
Affiliation:
1. Carleton University,Department of Systems and Computer Engineering,Ottawa,Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909837.pdf?arnumber=9909837
Reference33 articles.
1. ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
2. ImageNet Large Scale Visual Recognition Challenge
3. Deep implicit layers: Neural ODEs, equilibrium models, and beyond;duvenaud;NeurIPS workshop,2020
4. AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
5. Rank Minimization for Snapshot Compressive Imaging
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multiscale Dilated Convolution for Image Compressive Sensing (CS);IET Signal Processing;2024-01-18
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