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Found 2 papers, 2 papers with code
A Lightweight Transformer for Faster and Robust EBSD Data Collection
Three dimensional electron back-scattered diffraction (EBSD) microscopy is a critical tool in many applications in materials science, yet its data quality can fluctuate greatly during the arduous collection process, particularly via serial-sectioning.
Deep Unfolded Tensor Robust PCA with Self-supervised Learning
Tensor robust principal component analysis (RPCA), which seeks to separate a low-rank tensor from its sparse corruptions, has been crucial in data science and machine learning where tensor structures are becoming more prevalent.
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