Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics

Fabric anomaly detection (AD) tries to detect anomalies (i.e., defects) in fabrics, and fabric AD approaches are continuously improved with respect to their AD performance. However, developed solutions are known to generalize poorly to previously unseen fabrics, posing a crucial limitation to their...

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Detalles Bibliográficos
Autores principales: Rippel, Oliver, Zwinge, Corinna, Merhof, Dorit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269532/
https://www.ncbi.nlm.nih.gov/pubmed/35808242
http://dx.doi.org/10.3390/s22134750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269532/
https://www.ncbi.nlm.nih.gov/pubmed/35808242
http://dx.doi.org/10.3390/s22134750

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