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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