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1 Ergebnisse
1
Application of YOLO and R-CNN Methods for Adapted Selection..:
, In:
2024 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)
,
Starceva, Arina
;
Tuchin, Vladislav
;
Shumigai, Vladimir
.. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/WECONF61770.2024.10564596
RT T1 <cTitle>2024 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)</cTitle>: T1 <Title>Application of YOLO and R-CNN Methods for Adapted Selection of Illumination Patterns in the Ghost Polarimetry</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10564596&Exemplar=1&LAN=DE A1 Starceva, Arina A1 Tuchin, Vladislav A1 Shumigai, Vladimir A1 Moreva, Polina A1 Tcypkin, Anton YR 2024 SN 2769-3538 K1 YOLO K1 Deep learning K1 Image segmentation K1 Computational modeling K1 Lighting K1 Imaging K1 Polarimetry K1 Object recognition K1 Spatial resolution K1 Image reconstruction K1 ghost polarimetry K1 deep learning K1 illumination patterns K1 segments SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/WECONF61770.2024.10564596 DO https://doi.org/10.1109/WECONF61770.2024.10564596 SF ELIB - SuUB Bremen
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