• Corpus ID: 235436036

Towards Total Recall in Industrial Anomaly Detection

  title={Towards Total Recall in Industrial Anomaly Detection},
  author={Karsten Roth and Latha Pemula and Joaquin Zepeda and Bernhard Sch{\"o}lkopf and Thomas Brox and Peter V. Gehler},
Being able to spot defective parts is a critical component in large-scale industrial manufacturing. A particular chal-lenge that we address in this work is the cold-start problem: fit a model using nominal (non-defective) example images only. While handcrafted solutions per class are possible, the goal is to build systems that work well simultaneously on many different tasks automatically. The best peform-ing approaches combine embeddings from ImageNet models with an outlier detection model. In… 

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    2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)
  • 2018
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