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1 Ergebnisse
1
Anomaly detection for real-world industrial applications: b..:
, In:
2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
,
Jezek, Stepan
;
Jonak, Martin
;
Burget, Radim
.. - p. 64-69 , 2022
Link:
https://doi.org/10.1109/ICUMT57764.2022.9943437
RT T1 <cTitle>2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)</cTitle>: T1 <Title>Anomaly detection for real-world industrial applications: benchmarking recent self-supervised and pretrained methods</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9943437&Exemplar=1&LAN=DE A1 Jezek, Stepan A1 Jonak, Martin A1 Burget, Radim A1 Dvorak, Pavel A1 Skotak, Milos YR 2022 SN 2157-023X K1 Fabrication K1 Training K1 Visualization K1 Metals K1 Quality control K1 Benchmark testing K1 Feature extraction K1 Visual anomaly detection K1 deep anomaly detection K1 industrial visual inspection K1 self-supervised learning K1 transfer learning K1 convolutional neural networks SP 64 OP 69 LK http://dx.doi.org/https://doi.org/10.1109/ICUMT57764.2022.9943437 DO https://doi.org/10.1109/ICUMT57764.2022.9943437 SF ELIB - SuUB Bremen
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