PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization

Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier. PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization. In Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei 0001, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani, editors, Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part IV. Volume 12664 of Lecture Notes in Computer Science, pages 475-489, Springer, 2020. [doi]

@inproceedings{DefardSLA20,
  title = {PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization},
  author = {Thomas Defard and Aleksandr Setkov and Angelique Loesch and Romaric Audigier},
  year = {2020},
  doi = {10.1007/978-3-030-68799-1_35},
  url = {https://doi.org/10.1007/978-3-030-68799-1_35},
  researchr = {https://researchr.org/publication/DefardSLA20},
  cites = {0},
  citedby = {0},
  pages = {475-489},
  booktitle = {Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part IV},
  editor = {Alberto Del Bimbo and Rita Cucchiara and Stan Sclaroff and Giovanni Maria Farinella and Tao Mei 0001 and Marco Bertini and Hugo Jair Escalante and Roberto Vezzani},
  volume = {12664},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-68799-1},
}