A package auto-counting model based on tailored YOLO and DeepSort techniques
In the industrial area, the deployment of deep learning models in object detection and tracking are normally too large, also, it requires appropriate trade-offs between speed and accuracy. In this paper, we present a compressed object identification model called Tailored-YOLO (T-YOLO), and builds a...
Main Authors: | Xie Sijun, Zhou Yipeng, Zhong Iker, Yan Wenjing, Zhang Qingchuan |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2022-01-01
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Series: | MATEC Web of Conferences |
Subjects: | |
Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2022/02/matecconf_icpcm2022_02054.pdf |
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