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End-to-End Optimization Approach for Super-Resolution Ima... | ResearchHub
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End-to-End Optimization Approach for Super-Resolution Imaging of Human Silhouettes through Coded Illumination and Reconstruction Network
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Authors
Shunsuke Sakoda
2 more
Shunsuke Sakoda
•
Tomoya Nakamura
•
Yasushi Yagi
Published
January 1, 2024
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Journal
Frontiers in Optics + Laser Science 2022 (FIO, LS)
Topics
Computer Science
Artificial Intelligence
Computer Vision
Computer Vision And Pattern Recognition
End-To-End Principle
Show all topics
DOI
10.1364/fio.2024.jw5a.68
