A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision

Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew

ECML-PKDD 2024 pp. 20-37

doi:10.1007/978-3-031-70362-1_2 /ecmlpkdd/2024/rim2024ecmlpkdd-humancentric/

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Text

Rim et al. "A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70362-1_2

Markdown

[Rim et al. "A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/rim2024ecmlpkdd-humancentric/) doi:10.1007/978-3-031-70362-1_2

BibTeX

@inproceedings{rim2024ecmlpkdd-humancentric,
  title     = {{A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision}},
  author    = {Rim, Wiem Ben and Shaker, Ammar and Xu, Zhao and Gashteovski, Kiril and Kotnis, Bhushan and Lawrence, Carolin and Quittek, Jürgen and Saralajew, Sascha},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {20-37},
  doi       = {10.1007/978-3-031-70362-1_2},
  url       = {https://mlanthology.org/ecmlpkdd/2024/rim2024ecmlpkdd-humancentric/}
}