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Found 4 papers, 3 papers with code
CoShNet: A Hybrid Complex Valued Neural Network using Shearlets
In a hybrid neural network, the expensive convolutional layers are replaced by a non-trainable fixed transform with a great reduction in parameters.
Deep Microlocal Reconstruction for Limited-Angle Tomography
We present a deep learning-based algorithm to jointly solve a reconstruction problem and a wavefront set extraction problem in tomographic imaging.
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm
This is based on the fact that edges in images contain most of the semantic information.
Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks
Microlocal analysis provides deep insight into singularity structures and is often crucial for solving inverse problems, predominately, in imaging sciences.
