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Object-detection-Remote-execution-Client

Object detection demo for Remote execution at client side (Android) developed from Haoxin Wang's research works:

Haoxin Wang and Jiang Xie, "User Preference Based Energy-Aware Mobile AR System with Edge Computing," in Proc. IEEE International Conference on Computer Communications (INFOCOM 2020), Beijing, China, Apr. 2020, pp.1-10. (https://infocom2020.ieee-infocom.org/accepted-paper-list-main-conference)

Haoxin Wang, BaekGyu Kim, Jiang Xie, and Zhu Han, "How is Energy Consumed in Smartphone Deep Learning Apps? Executing Locally vs. Remotely," in Proc. IEEE Global Communications Conference (GLOBECOM 2019), Waikoloa, HI, Dec. 2019, pp.1-6. (https://doi.org/10.1109/GLOBECOM38437.2019.9013647)

Original work can be found at: https://github.com/WINSAC/Mobile-AR-in-Edge-Computing-Client

Developed as a partial requirement for completion of ECGR 8119 course at UNCC.

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Object detection demo for Remote execution at client side (Android)

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