Self-Supervised Learning for Industrial Image Anomaly Detection by Simulating Anomalous Samples
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Self-Supervised Learning for Industrial Image Anomaly Detection by Simulating Anomalous Samples ; volume:16 ; number:1 ; day:20 ; month:9 ; year:2023 ; pages:1-15 ; date:12.2023
International journal of computational intelligence systems ; 16, Heft 1 (20.9.2023), 1-15, 12.2023
- Urheber
-
Pei, Mingjing
Liu, Ningzhong
Zhao, Bing
Sun, Han
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s44196-023-00328-0
- URN
-
urn:nbn:de:101:1-2024020112352335105744
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:38 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Pei, Mingjing
- Liu, Ningzhong
- Zhao, Bing
- Sun, Han
- SpringerLink (Online service)
Ähnliche Objekte (12)
Self-Supervised Representation learning for Anomaly Detection
Self-Supervised Anomaly Detection with Neural Transformations
Visual defect obfuscation based self-supervised anomaly detection
Understanding the limitations of self-supervised learning for tabular anomaly detection
Self-supervised anomaly detection based on foreground enhancement and autoencoder reconstruction
Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph
P2 random walk: self-supervised anomaly detection with pixel-point random walk
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections
Self-supervised Face Representation Learning
Self-Supervised Adversarial Shape Completion
TDSRL: Time Series Dual Self-Supervised Representation Learning for Anomaly Detection from Different Perspectives
Self-Supervised Learning of Machine Ethics
Self-Supervised Representation learning for Anomaly Detection
Self-Supervised Anomaly Detection with Neural Transformations
Visual defect obfuscation based self-supervised anomaly detection
Understanding the limitations of self-supervised learning for tabular anomaly detection
Self-supervised anomaly detection based on foreground enhancement and autoencoder reconstruction
Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph
P2 random walk: self-supervised anomaly detection with pixel-point random walk
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections
Self-supervised Face Representation Learning
Self-Supervised Adversarial Shape Completion
TDSRL: Time Series Dual Self-Supervised Representation Learning for Anomaly Detection from Different Perspectives
Self-Supervised Learning of Machine Ethics
Self-Supervised Representation learning for Anomaly Detection
Self-Supervised Anomaly Detection with Neural Transformations
Visual defect obfuscation based self-supervised anomaly detection
Understanding the limitations of self-supervised learning for tabular anomaly detection
Self-supervised anomaly detection based on foreground enhancement and autoencoder reconstruction
Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph
P2 random walk: self-supervised anomaly detection with pixel-point random walk
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections
Self-supervised Face Representation Learning
Self-Supervised Adversarial Shape Completion
TDSRL: Time Series Dual Self-Supervised Representation Learning for Anomaly Detection from Different Perspectives