Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387587641> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4387587641 endingPage "1" @default.
- W4387587641 startingPage "1" @default.
- W4387587641 abstract "Product quality inspection is a critical component of industrial manufacturing. An accurate and reliable Anomaly Detection and Localization (ADL) system for industrial product quality inspection is essential in real-world manufacturing factories. Collecting massive anomalous products is difficult because the number of anomalous products is limited and rare in a realistic manufacturing scenario. Therefore, the paper treats the ADL problem as a cold-start challenge, training the defects inspection network only using nominal (non-defective) images. Significantly, the paper aims to bridge the gap between academic research and real-world manufacturing industry applications. The paper lists issues that current state-of-the-art academic research faces when applied in real-world manufacturing settings, then a Reliable Anomaly Detection and Localization (RADL) system is developed to solve the issues. RADL is improved in three aspects. Firstly, the common image pre-processing method is modified by considering the characteristics of real-world industrial images. Secondly, a Fake Defect Feature Augmentation (FDFA) strategy to mitigate the scarcity of real-world data. Thirdly, a Hardness-aware Cross-Entropy loss (HCELoss) is adopted to enhance the stability and reliability of the system. On the public MVTec AD benchmarks, the proposed RADL outperforms previous methods with 99.53% in I-AUROC, 97.85% in P-AUROC, and 91.60% in PRO. Furthermore, RADL is evaluated under industrial manufacturing settings in two real-world datasets collected from industrial production lines. The experimental results demonstrate the superiority of the proposed strategies in a public dataset and real-world manufacturing industrial environments." @default.
- W4387587641 created "2023-10-13" @default.
- W4387587641 creator A5002289420 @default.
- W4387587641 creator A5048806882 @default.
- W4387587641 date "2023-01-01" @default.
- W4387587641 modified "2023-10-14" @default.
- W4387587641 title "Reliable Anomaly Detection and Localization System: Implications on Manufacturing Industry" @default.
- W4387587641 doi "https://doi.org/10.1109/access.2023.3324314" @default.
- W4387587641 hasPublicationYear "2023" @default.
- W4387587641 type Work @default.
- W4387587641 citedByCount "0" @default.
- W4387587641 crossrefType "journal-article" @default.
- W4387587641 hasAuthorship W4387587641A5002289420 @default.
- W4387587641 hasAuthorship W4387587641A5048806882 @default.
- W4387587641 hasBestOaLocation W43875876411 @default.
- W4387587641 hasConcept C109747225 @default.
- W4387587641 hasConcept C111472728 @default.
- W4387587641 hasConcept C117671659 @default.
- W4387587641 hasConcept C121332964 @default.
- W4387587641 hasConcept C127413603 @default.
- W4387587641 hasConcept C138885662 @default.
- W4387587641 hasConcept C144133560 @default.
- W4387587641 hasConcept C154945302 @default.
- W4387587641 hasConcept C162324750 @default.
- W4387587641 hasConcept C162853370 @default.
- W4387587641 hasConcept C163258240 @default.
- W4387587641 hasConcept C165556158 @default.
- W4387587641 hasConcept C175444787 @default.
- W4387587641 hasConcept C175700187 @default.
- W4387587641 hasConcept C200601418 @default.
- W4387587641 hasConcept C2524010 @default.
- W4387587641 hasConcept C2779530757 @default.
- W4387587641 hasConcept C33923547 @default.
- W4387587641 hasConcept C41008148 @default.
- W4387587641 hasConcept C43214815 @default.
- W4387587641 hasConcept C62520636 @default.
- W4387587641 hasConcept C739882 @default.
- W4387587641 hasConcept C77854861 @default.
- W4387587641 hasConcept C82753439 @default.
- W4387587641 hasConcept C90673727 @default.
- W4387587641 hasConceptScore W4387587641C109747225 @default.
- W4387587641 hasConceptScore W4387587641C111472728 @default.
- W4387587641 hasConceptScore W4387587641C117671659 @default.
- W4387587641 hasConceptScore W4387587641C121332964 @default.
- W4387587641 hasConceptScore W4387587641C127413603 @default.
- W4387587641 hasConceptScore W4387587641C138885662 @default.
- W4387587641 hasConceptScore W4387587641C144133560 @default.
- W4387587641 hasConceptScore W4387587641C154945302 @default.
- W4387587641 hasConceptScore W4387587641C162324750 @default.
- W4387587641 hasConceptScore W4387587641C162853370 @default.
- W4387587641 hasConceptScore W4387587641C163258240 @default.
- W4387587641 hasConceptScore W4387587641C165556158 @default.
- W4387587641 hasConceptScore W4387587641C175444787 @default.
- W4387587641 hasConceptScore W4387587641C175700187 @default.
- W4387587641 hasConceptScore W4387587641C200601418 @default.
- W4387587641 hasConceptScore W4387587641C2524010 @default.
- W4387587641 hasConceptScore W4387587641C2779530757 @default.
- W4387587641 hasConceptScore W4387587641C33923547 @default.
- W4387587641 hasConceptScore W4387587641C41008148 @default.
- W4387587641 hasConceptScore W4387587641C43214815 @default.
- W4387587641 hasConceptScore W4387587641C62520636 @default.
- W4387587641 hasConceptScore W4387587641C739882 @default.
- W4387587641 hasConceptScore W4387587641C77854861 @default.
- W4387587641 hasConceptScore W4387587641C82753439 @default.
- W4387587641 hasConceptScore W4387587641C90673727 @default.
- W4387587641 hasFunder F4320335977 @default.
- W4387587641 hasLocation W43875876411 @default.
- W4387587641 hasOpenAccess W4387587641 @default.
- W4387587641 hasPrimaryLocation W43875876411 @default.
- W4387587641 hasRelatedWork W2186040014 @default.
- W4387587641 hasRelatedWork W2347538703 @default.
- W4387587641 hasRelatedWork W2348354434 @default.
- W4387587641 hasRelatedWork W2351333215 @default.
- W4387587641 hasRelatedWork W2365883849 @default.
- W4387587641 hasRelatedWork W2371118170 @default.
- W4387587641 hasRelatedWork W2378064245 @default.
- W4387587641 hasRelatedWork W2379635273 @default.
- W4387587641 hasRelatedWork W2973286682 @default.
- W4387587641 hasRelatedWork W4250647175 @default.
- W4387587641 isParatext "false" @default.
- W4387587641 isRetracted "false" @default.
- W4387587641 workType "article" @default.