Paper
A survey on deep learning based face recognition
Published Dec 1, 2019 · G. Guo, N. Zhang
Comput. Vis. Image Underst.
Q1 SJR score
366
Citations
6
Influential Citations
Abstract
Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.
Study Snapshot
Key takeawayDeep learning methods have improved face recognition by handling variations in pose, age, illumination, expression, and heterogeneous face matching.
PopulationOlder adults (50-71 years)
Sample size24
MethodsObservational
OutcomesBody Mass Index projections
ResultsSocial networks mitigate obesity in older groups.
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References
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