FARLut: a two-stage tobacco foreign body detection model incorporating color information and attention mechanism

Author:

Liang Jianglai,Zeng Zhiyong,Huang Gang,Li Tong,Yuan Rui,Feng TaoORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference43 articles.

1. Xiao L (2013) A brief discussion on the control of trash in the filament-making line of a tobacco factory. Red Son (Mid)

2. Shen W (2018) Research on tobacco foreign object recognition algorithm based on the color model. Nanjing University of Aeronautics and Astronautics

3. Tang X, Zhang Y, Huang G, Xie W, Guang H, Li J (2004) Comparison of the tobacco sorter and tobacco scan 6000 tobacco foreign matter rejection systems. Tob Sci Technol 2:1–3

4. Chen W, Zhong X, Li Z, Chen J, Liu J (2003) Key technologies in online foreign matter rejection system for tobacco. Meas Control Technol 22(5):29–32

5. Zhang S, Dong D, Ren Y, Dai P, Kong D (2009) Typical foreign matter handling methods in tobacco foreign matter rejection systems. Tob Technol 5:22–25

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