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Fine-grained classification for aero-engine borescope image..:
, In:
2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
,
Huang, Rui
;
Zeng, Jingcheng
;
Cheng, Xuyi
. - p. 389-394 , 2024
Link:
https://doi.org/10.1109/CSCWD61410.2024.10580812
RT T1 <cTitle>2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)</cTitle>: T1 <Title>Fine-grained classification for aero-engine borescope images based on the fusion of local and global features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10580812&Exemplar=1&LAN=DE A1 Huang, Rui A1 Zeng, Jingcheng A1 Cheng, Xuyi A1 Wei, Jieda YR 2024 SN 2768-1904 K1 Codes K1 Accuracy K1 Federated learning K1 Diversity reception K1 Feature extraction K1 Proposals K1 Aircraft propulsion K1 Fine-grained image classification K1 aero-engine borescope image K1 aero-engine K1 feature fusion K1 image classification SP 389 OP 394 LK http://dx.doi.org/https://doi.org/10.1109/CSCWD61410.2024.10580812 DO https://doi.org/10.1109/CSCWD61410.2024.10580812 SF ELIB - SuUB Bremen
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