A lightweight neural network based on AlexNet-SSD model for garbage detection

Shih Hsiung Lee, Ting Wei Hou, Chien Hui Yeh, Chu Sing Yang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

As the theory of deep learning develops, object detection technology has been widely used in all fields. How to find objects accurately and quickly is one of the key technologies. A usage scenario to be solved is proposed here, that is how to facilitate object detection technology in waste sorting. Hence, in this paper, a lightweight deep learning model is proposed. The basic network architecture of SSD(Single Shot MultiBox Detector) is changed to AlexNet. In this way, the capacity on object detection of SSD is remained, and the model parameters are greatly reduced. The experimental results show that the modified model can recognize the categories of waste accurately.

原文English
主出版物標題HPCCT 2019 - 3rd High Performance Computing and Cluster Technologies Conference and BDAI 2019 - 2nd International Conference on Big Data and Artificial Intelligence
發行者Association for Computing Machinery
頁面274-278
頁數5
ISBN(電子)9781450371858
DOIs
出版狀態Published - 2019 六月 22
事件3rd High Performance Computing and Cluster Technologies Conference, HPCCT 2019 and the 2nd International Conference on Big Data and Artificial Intelligence, BDAI 2019 - Guangzhou, China
持續時間: 2019 六月 222019 六月 24

出版系列

名字ACM International Conference Proceeding Series

Conference

Conference3rd High Performance Computing and Cluster Technologies Conference, HPCCT 2019 and the 2nd International Conference on Big Data and Artificial Intelligence, BDAI 2019
國家China
城市Guangzhou
期間19-06-2219-06-24

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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