continual anomaly detection

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (8 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
  10 May 2025 1 repository listed
  Specifically, we compress historical data by searching for a class semantic embedding in the conditional space of the pre-trained diffusion model, which can guide the model to replay data with fine-grained pixel…
• One-for-More: Continual Diffusion Model for Anomaly Detection
  27 Feb 2025 1 repository listed
  Finally, considering the risk of ``over-fitting'' to normal images of the diffusion model, we propose an anomaly-masked network to enhance the condition mechanism of the diffusion model.
• Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
  2 Jan 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Unsupervised Anomaly Detection (UAD) with incremental training is crucial in industrial manufacturing, as unpredictable defects make obtaining sufficient labeled data infeasible.
• An Incremental Unified Framework for Small Defect Inspection
  14 Dec 2023 1 repository listed
  Artificial Intelligence (AI)-driven defect inspection is pivotal in industrial manufacturing.
• Towards Continual Adaptation in Industrial Anomaly Detection
  10 Oct 2022 1 repository listed
  We believe that the proposed task and benchmark will be beneficial to the field of AD.
• Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data
  25 Dec 2021 1 repository listed
  This work proposes a continual anomaly detection framework to overcome both challenges and designed to learn from a stream of journal entry data experiences.
• ARCADe: A Rapid Continual Anomaly Detector
  10 Aug 2020 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Although continual learning and anomaly detection have separately been well-studied in previous works, their intersection remains rather unexplored.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.