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R2-B2: A Metric of Synthesized Image's Photorealism by Regr..:
, In:
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
,
Hattori, Shun
;
Aiba, Kizuku
;
Takahara, Madoka
- p. 1-8 , 2022
Link:
https://doi.org/10.1109/SCISISIS55246.2022.10001857
RT T1 <cTitle>2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)</cTitle>: T1 <Title>R2-B2: A Metric of Synthesized Image's Photorealism by Regression Analysis based on Recognized Objects' Bounding Box</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10001857&Exemplar=1&LAN=DE A1 Hattori, Shun A1 Aiba, Kizuku A1 Takahara, Madoka YR 2022 K1 Measurement K1 Image quality K1 Photorealism K1 Image recognition K1 Image synthesis K1 Generative adversarial networks K1 Regression analysis K1 image evaluation K1 no-reference image quality assessment K1 image quality metrics K1 object recognition K1 object detection K1 regression analysis K1 correlation analysis SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/SCISISIS55246.2022.10001857 DO https://doi.org/10.1109/SCISISIS55246.2022.10001857 SF ELIB - SuUB Bremen
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