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European Conference on Computer Vision
Anomaly synthesis strategies can effectively enhance unsupervised anomaly detection. However, existing strategies have limitations in the coverage and controllability of anomaly synthesis, particularly for weak defects that are very similar to normal ...
Qiyu Chen +3 more
semanticscholar +1 more source
Anomaly synthesis strategies can effectively enhance unsupervised anomaly detection. However, existing strategies have limitations in the coverage and controllability of anomaly synthesis, particularly for weak defects that are very similar to normal ...
Qiyu Chen +3 more
semanticscholar +1 more source
VANET Network Traffic Anomaly Detection Using GRU-Based Deep Learning Model
IEEE transactions on consumer electronicsThe rise of Vehicular Ad-hoc Networks (VANETs) has led to the growing significance in intelligent transportation systems. This research suggests a deep learning model for anomaly detection based on GRU over VANET network traffic to address this challenge.
Ghayth AlMahadin +8 more
semanticscholar +1 more source
Anomaly Detection in Smart Environments: A Comprehensive Survey
IEEE AccessAnomaly detection is a critical task in ensuring the security and safety of infrastructure and individuals in smart environments. This paper provides a comprehensive analysis of recent anomaly detection solutions in data streams supporting smart ...
Daniel Fährmann +3 more
semanticscholar +1 more source
Anomaly Detection in Hyperspectral Images Using Adaptive Graph Frequency Location
IEEE Transactions on Neural Networks and Learning SystemsGraph theory-based techniques have recently been adopted for anomaly detection in hyperspectral images (HSIs). However, these methods rely excessively on the relational structure within the constructed graphs and tend to downplay the importance of ...
Bing Tu +5 more
semanticscholar +1 more source
Deep Learning for Medical Anomaly Detection – A Survey
ACM Computing Surveys, 2022Tharindu Fernando +2 more
exaly
Deep Learning-based Anomaly Detection in Cyber-physical Systems
ACM Computing Surveys, 2022Yuan Luo, Guojun Peng, Danfeng Yao
exaly
Reconstruction by inpainting for visual anomaly detection
Pattern Recognition, 2021Matej Kristan, Danijel Skočaj
exaly