SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. (arXiv:2201.04235v1 [cs.DC])

Mobile devices increasingly rely on object detection (OD) through deep neural
networks (DNNs) to perform critical tasks. Due to their high complexity, the
execution of these DNNs requires excessive time and energy. Low-complexity
object tracking (OT) can be used with OD, where the latter is periodically
applied to generate "fresh" references for tracking. However, the frames
processed with OD incur large delays, which may make the reference outdated and
degrade tracking quality. Herein, we propose to use edge computing in …

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