Making Image Classification Intuitively Explainable
ObAlEx is a new explanation quality metric to measure object aligned explanation in image classification
@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}
}