Simplification of deep neural network-based object detector for real-time edge computing

HIGHLIGHTS

• who: Kyoungtaek Choi and collaborators from the Department of AI Automation Robot, Daegu Catholic University, Hayang-ro, Hayang-eup, Gyeongsan-si, Gyeongsangbuk-do, Republic of Korea have published the research: Simplification of Deep Neural Network-Based Object Detector for Real-Time Edge Computing, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW in of /2023/
• what: In this paper, we analyzed network compression methods (network simplification and parameter quantization) for real-time running DNN-based object detectors on edge devices through various experiments.
• how: This paper presents a method for simplifying and . . .
  

   

  

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