Does deep learning always outperform simple linear regression in optical imaging?
Shuming Jiao; Yang Gao; Jun Feng; Ting Lei; Xiaocong Yuan · 2020 · Optics Express
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Deep learning has been extensively applied in many optical imaging problems in recent years. Despite the success, the limitations and drawbacks of deep learning in optical imaging have been seldom investigated. In this work, we show that…
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Metadata source: Crossref · DOI 10.1364/oe.382319