Understanding Patch-Based Learning of Video Data by Explaining Predictions

Christopher J. Anders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller. Understanding Patch-Based Learning of Video Data by Explaining Predictions. In Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller, editors, Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Volume 11700 of Lecture Notes in Computer Science, pages 297-309, Springer, 2019. [doi]

@incollection{AndersMSM19,
  title = {Understanding Patch-Based Learning of Video Data by Explaining Predictions},
  author = {Christopher J. Anders and Grégoire Montavon and Wojciech Samek and Klaus-Robert Müller},
  year = {2019},
  doi = {10.1007/978-3-030-28954-6_16},
  url = {https://doi.org/10.1007/978-3-030-28954-6_16},
  researchr = {https://researchr.org/publication/AndersMSM19},
  cites = {0},
  citedby = {0},
  pages = {297-309},
  booktitle = {Explainable AI: Interpreting, Explaining and Visualizing Deep Learning},
  editor = {Wojciech Samek and Grégoire Montavon and Andrea Vedaldi and Lars Kai Hansen and Klaus-Robert Müller},
  volume = {11700},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-28954-6},
}