continual anomaly detection
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in continual anomaly detection
Most implemented papers
ARCADe: A Rapid Continual Anomaly Detector
AhmedFrikha/ARCADe-A-Rapid-Continual-Anomaly-Detector
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Although continual learning and anomaly detection have separately been well-studied in previous works, their intersection remains rather unexplored.
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data
GitiHubi/deepContinualAuditing
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AAAI Workshop on AI in Financial Services: Adaptiveness, Resilience & Governance 2021
This work proposes a continual anomaly detection framework to overcome both challenges and designed to learn from a stream of journal entry data experiences.
Towards Continual Adaptation in Industrial Anomaly Detection
vijaylee/Continual_Anomaly_Detection
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ACMMM 2022
We believe that the proposed task and benchmark will be beneficial to the field of AD.
An Incremental Unified Framework for Small Defect Inspection
Artificial Intelligence (AI)-driven defect inspection is pivotal in industrial manufacturing.
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
shirowalker/ucad
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Unsupervised Anomaly Detection (UAD) with incremental training is crucial in industrial manufacturing, as unpredictable defects make obtaining sufficient labeled data infeasible.
