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ObAlEx

Making Image Classification Intuitively Explainable

ObAlEx is a new explanation quality metric to measure object aligned explanation in image classification

Authors

Paper

Nguyen, Anna; Oberföll, Adrian; Färber, Michael. "Right for the Right Reasons: Making Image Classification Intuitively Explainable."

@inproceedings{DBLP:conf/ecir/NguyenOF21,
  author    = {Anna Nguyen and
               Adrian Oberf{\"{o}}ll and
               Michael F{\"{a}}rber},
  editor    = {Djoerd Hiemstra and
               Marie{-}Francine Moens and
               Josiane Mothe and
               Raffaele Perego and
               Martin Potthast and
               Fabrizio Sebastiani},
  title     = {Right for the Right Reasons: Making Image Classification Intuitively
               Explainable},
  booktitle = {Advances in Information Retrieval - 43rd European Conference on {IR}
               Research, {ECIR} 2021, Virtual Event, March 28 - April 1, 2021, Proceedings,
               Part {II}},
  series    = {Lecture Notes in Computer Science},
  volume    = {12657},
  pages     = {327--333},
  publisher = {Springer},
  year      = {2021},
  url       = {https://doi.org/10.1007/978-3-030-72240-1\_32},
  doi       = {10.1007/978-3-030-72240-1\_32}
}

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