Multi-model anomaly detection for industrial inspection with dynamic loss weighting and soft-hard features loss
Crossref DOI link: https://doi.org/10.1007/s00521-025-11367-3
Published Online: 2025-06-09
Published Print: 2025-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hendria, Willy Fitra
Kim, Hanbi
Seo, Daeho
Text and Data Mining valid from 2025-06-09
Version of Record valid from 2025-06-09
Article History
Received: 22 July 2024
Accepted: 8 May 2025
First Online: 9 June 2025
Declarations
:
: The authors declare that there is no conflict of interest.