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(日本語) 映メ学会メディア工学研究会2023年12月新潟開催報告
(日本語) IEEE Shin-etsu SSB Online Oral Session 2023 参加報告
(日本語) 第6回土木科学シンポジウム参加報告
(日本語) 特許を取りました
Published SaivDr-Release20200903
We updated SaivDr (Sparsity-Aware Image and Volumetric Data Restoration) package for the first time in about six months.
New this time, we added custom layers and sample codes for use with MATLAB Deep Learning Toolbox. It allows for more flexible DAG configuration than before.
NSOLT enables you to realize Parseval tight, symmetric and multi-resolution convolutional layers, and you can place NSOLT as a convolutional layer in a corner of a convolutional neural network.
We hope you will give it a try.
Acknowledgments: This work was supported by KAKENHI JP19H04135.