Survey of visual anomaly detection in industrial manufacturing using deep learning

Survey of visual anomaly detection in industrial manufacturing using deep learning

Deep Visual Anomaly Detection in Industrial Manufacturing: A Survey

arXiv paper abstract https://arxiv.org/abs/2301.11514

arXiv PDF paper https://arxiv.org/pdf/2301.11514.pdf

Project page https://github.com/M-3LAB/awesome-industrial-anomaly-detection

The recent rapid development of deep learning has laid a milestone in visual anomaly detection (VAD).

In this paper ... provide a comprehensive review of deep learning-based visual anomaly detection techniques, from the perspectives of neural network architectures, levels of supervision, loss functions, metrics and datasets.

... extract the new setting from industrial manufacturing and review the current VAD approaches under ... proposed ... new setting.

... highlight several opening challenges for visual anomaly detection.

The merits and downsides of representative network architectures under varying supervision are discussed.

Finally ... summarize the research findings and point out future research directions ...

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