Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Elliot Smith 0003, Andrew P. Bradley, Clinton Fookes, Olivier Salvado. A Comparison of Saliency Methods for Deep Learning Explainability. In Jun Zhou, Olivier Salvado, Ferdous Sohel, Paulo Borges, Shilin Wang, editors, 2021 Digital Image Computing: Techniques and Applications, DICTA 2021, Gold Coast, Australia, November 29 - December 1, 2021. pages 1-8, IEEE, 2021. [doi]
@inproceedings{KonateLCSBFS21,
title = {A Comparison of Saliency Methods for Deep Learning Explainability},
author = {Salamata Konate and Léo Lebrat and Rodrigo Santa Cruz and Elliot Smith 0003 and Andrew P. Bradley and Clinton Fookes and Olivier Salvado},
year = {2021},
doi = {10.1109/DICTA52665.2021.9647419},
url = {https://doi.org/10.1109/DICTA52665.2021.9647419},
researchr = {https://researchr.org/publication/KonateLCSBFS21},
cites = {0},
citedby = {0},
pages = {1-8},
booktitle = {2021 Digital Image Computing: Techniques and Applications, DICTA 2021, Gold Coast, Australia, November 29 - December 1, 2021},
editor = {Jun Zhou and Olivier Salvado and Ferdous Sohel and Paulo Borges and Shilin Wang},
publisher = {IEEE},
isbn = {978-1-6654-1709-9},
}