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.
Learning attention models for resource-constrained, self-adaptive visual sensing applications [link]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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