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

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Bibliographic Details
Title: Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics.
Authors: Rippel O; Institute of Imaging & Computer Vision, RWTH Aachen University, 52062 Aachen, Germany., Zwinge C; Institute of Imaging & Computer Vision, RWTH Aachen University, 52062 Aachen, Germany., Merhof D; Institute of Imaging & Computer Vision, RWTH Aachen University, 52062 Aachen, Germany.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Jun 23; Vol. 22 (13). Date of Electronic Publication: 2022 Jun 23.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s22134750