Deep learning libraries must be optimized to perform object detection with deep learning models in resource-constrained embedded hardware. To do this, we analyze hardware resource usage and energy consumption when executing the object detection. Base on the results of the analysis, we propose how to automatically find the optimal hardware control factors and adjust the model.
Head of Project
|Jaymin Lee (Alumni)||Ph.D. Student|
|Sihyeong Park||Ph.D. Student|