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The Ethereal
Fully Convolutional Fractional Scaling
March 20, 2022 ยท Declared Dead ยท ๐ International Conference on Signal-Image Technology and Internet-Based Systems
"No code URL or promise found in abstract"
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Authors
Michael Soloveitchik, Michael Werman
arXiv ID
2203.10670
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.LG
Citations
0
Venue
International Conference on Signal-Image Technology and Internet-Based Systems
Last Checked
4 months ago
Abstract
We introduce a fully convolutional fractional scaling component, FCFS. Fully convolutional networks can be applied to any size input and previously did not support non-integer scaling. Our architecture is simple with an efficient single layer implementation. Examples and code implementations of three common scaling methods are published.
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