A Compact Convolutional Neural Network for Textured Surface Anomaly Detection

@article{Raki2018ACC,
  title={A Compact Convolutional Neural Network for Textured Surface Anomaly Detection},
  author={Domen Ra{\vc}ki and Dejan Tomazevic and Danijel Sko{\vc}aj},
  journal={2018 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2018},
  pages={1331-1339}
}
Convolutional neural methods have proven to outperform other approaches in various computer vision tasks. [] Key Result The proposed approach achieves state-of-the-art results in terms of anomaly segmentation as well as classification.
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