no code implementations • 29 Oct 2023 • Mohammad Mehdi Rastikerdar, Jin Huang, Shiwei Fang, Hui Guan, Deepak Ganesan
While existing strategies to execute deep learning-based classification on low-power platforms assume the models are trained on all classes of interest, this paper posits that adopting context-awareness i. e. narrowing down a classification task to the current deployment context consisting of only recent inference queries can substantially enhance performance in resource-constrained environments.