Dual Branch Learning with Prior Information for Surface Anomaly Detection

Visual surface anomaly detection focuses on the classification and location of regions that deviate from the normal appearance, and generally, only normal samples are provided for training. The reconstruction-based method is widely used, which locates the anomalies by analyzing the reconstruction er...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 72; s. 1
Hlavní autori:	Wang, Shuyuan, Lv, Chengkan, Zhang, Zhengtao, Wei, Xueyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Anomalies Anomaly detection anomaly escape Datasets Decoding defect detection dual branch autoencoder Error analysis Feature extraction gated attention Image reconstruction overkill Surface defects Surface reconstruction Training Training data
ISSN:	0018-9456, 1557-9662
On-line prístup:	Získať plný text
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