TY - GEN
T1 - A lightweight neural network based on AlexNet-SSD model for garbage detection
AU - Lee, Shih Hsiung
AU - Hou, Ting Wei
AU - Yeh, Chien Hui
AU - Yang, Chu Sing
N1 - Funding Information:
This research is financially supported by the Ministry of Science and Technology of Taiwan (under grants No. MOST 107-2221-E-006-073).
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/6/22
Y1 - 2019/6/22
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85071544962&partnerID=8YFLogxK
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U2 - 10.1145/3341069.3341087
DO - 10.1145/3341069.3341087
M3 - Conference contribution
AN - SCOPUS:85071544962
T3 - ACM International Conference Proceeding Series
SP - 274
EP - 278
BT - HPCCT 2019 - 3rd High Performance Computing and Cluster Technologies Conference and BDAI 2019 - 2nd International Conference on Big Data and Artificial Intelligence
PB - Association for Computing Machinery
T2 - 3rd High Performance Computing and Cluster Technologies Conference, HPCCT 2019 and the 2nd International Conference on Big Data and Artificial Intelligence, BDAI 2019
Y2 - 22 June 2019 through 24 June 2019
ER -