Few-Shot Learning for Small Impurities in Tobacco Stems With Improved YOLOv7

Few-Shot Learning for Small Impurities in Tobacco Stems With Improved YOLOv7

With the increase of public concern about health and smoking, the authorities have gradually tightened the control of tar content in cigarettes, making reconstituted tobacco a growing concern for tobacco companies. Tobacco stems are used as the main raw material for reconstituted tobacco, but they c...

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Bibliographic Details
Main Authors: Sheng Xue, Zhenye Li, Rui Wu, Tingting Zhu, Yangchun Yuan, Chao Ni
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Impurities detection
deep learning
computer vision
tobacco
data augmentation
YOLO-v7
Online Access:https://ieeexplore.ieee.org/document/10122545/

Internet

https://ieeexplore.ieee.org/document/10122545/

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