Citations refer to the original publication, not to a Scieee localized version.
Zhang, W., Dimiccoli, M., & Lim, B. H. (2022). Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. Association for Computing Machinery (ACM). https://doi.org/10.1145/3491102.3517522
Zhang, Wanchang, et al. Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. Association for Computing Machinery (ACM), 2022. https://doi.org/10.1145/3491102.3517522.
Zhang, Wanchang, Mariella Dimiccoli, and B.H. Lim. Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. Association for Computing Machinery (ACM), 2022. https://doi.org/10.1145/3491102.3517522.
Zhang, W., Dimiccoli, M. and Lim, B. H. (2022) Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. Association for Computing Machinery (ACM). Available at: https://doi.org/10.1145/3491102.3517522.
W. Zhang, M. Dimiccoli, and B. H. Lim, “Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning,” Association for Computing Machinery (ACM), 2022, doi: 10.1145/3491102.3517522.
@misc{zhang2022debiasedcam,
author = {Zhang, Wanchang and Dimiccoli, Mariella and Lim, B.H.},
title = {Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning},
year = {2022},
pages = {1--32},
publisher = {Association for Computing Machinery (ACM)},
doi = {10.1145/3491102.3517522},
url = {https://doi.org/10.1145/3491102.3517522}
}
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