Model lightweighting for real-time distraction detection on resource-limited devices

HIGHLIGHTS

  • who: Jing Wang from the High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China University of Science and Technology of China, Hefei, China have published the paper: Model Lightweighting for Real-time Distraction Detection on Resource-Limited Devices, in the Journal: Computational Intelligence and Neuroscience 10 of 23/Dec/2022
  • what: The authors aim to achieve accurate and fast distracted driver detection in the context of embedded devices where only limited memory and computing resources are available. Specifcally the authors propose a novel convolutional neural network (CNN) light-weighting . . .

     

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