Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger. Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. In Alain Trémeau, Giovanni Maria Farinella, José Braz, editors, Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, Volume 5: VISAPP, Prague, Czech Republic, February 25-27, 2019. pages 372-380, SciTePress, 2019. [doi]

@inproceedings{BergmannLFSS19,
  title = {Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders},
  author = {Paul Bergmann and Sindy Löwe and Michael Fauser and David Sattlegger and Carsten Steger},
  year = {2019},
  doi = {10.5220/0007364503720380},
  url = {https://doi.org/10.5220/0007364503720380},
  researchr = {https://researchr.org/publication/BergmannLFSS19},
  cites = {0},
  citedby = {0},
  pages = {372-380},
  booktitle = {Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, Volume 5: VISAPP, Prague, Czech Republic, February 25-27, 2019},
  editor = {Alain Trémeau and Giovanni Maria Farinella and José Braz},
  publisher = {SciTePress},
  isbn = {978-989-758-354-4},
}