Learning attention models for resource-constrained, self-adaptive visual sensing applications. Asad, H. A., Kraemer, F. A., Bach, K., Renner, C., & Veiga, T. S. In Li, P., Heo, J., & Cerný, T., editors, Proceedings of the Conference on Research in Adaptive and Convergent Systems, RACS 2022, Virtual Event, Japan, October 3-6, 2022, pages 165–171, 2022. ACM. Paper doi bibtex @inproceedings{DBLP:conf/racs/AsadKBRV22,
author = {Hafiz Areeb Asad and
Frank Alexander Kraemer and
Kerstin Bach and
Christian Renner and
Tiago Santos Veiga},
editor = {Peng Li and
Junyoung Heo and
Tom{\'{a}}s Cern{\'{y}}},
title = {Learning attention models for resource-constrained, self-adaptive
visual sensing applications},
booktitle = {Proceedings of the Conference on Research in Adaptive and Convergent
Systems, {RACS} 2022, Virtual Event, Japan, October 3-6, 2022},
pages = {165--171},
publisher = {{ACM}},
year = {2022},
url = {https://doi.org/10.1145/3538641.3561505},
doi = {10.1145/3538641.3561505},
timestamp = {Tue, 25 Oct 2022 16:57:35 +0200},
biburl = {https://dblp.org/rec/conf/racs/AsadKBRV22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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