Chinese Journal of Liquid Crystals and Displays, Volume. 35, Issue 11, 1195(2020)
Detection of foreign fiber in cotton based on improved YOLOv3
[1] [1] GAMBLE G R, FOULK J A. Quantitative analysis of cotton (Gossypium hirsutum) lint trash by fluorescence spectroscopy [J]. Journal of Agricultural and Food Chemistry, 2007, 55(13): 4940-4943.
[2] [2] MUSTAFIC A, LI C Y, HAIDEKKER M. Blue and UV LED-induced fluorescence in cotton foreign matter [J]. Journal of Biological Engineering, 2014, 8: 29.
[9] [9] GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation [C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Columbus, OH, USA: IEEE, 2014: 580-587.
[12] [12] HOWARD A G, ZHU M L, CHEN B, et al. MobileNets: efficient convolutional neural networks for mobile vision applications [J]. arXiv:1704.04861v1, 2017: 1-9.
[13] [13] REDMON J, FARHADI A. YOLOv3: an incremental improvement [J]. arXiv:1804.02767v1, 2018: 1-6.
[14] [14] REN S Q, HE K M, GIRSHICK R, et al. Faster R-CNN: towards real-time object detection with region proposal networks [C]//Proceedings of the 28th International Conference on Neural Information Processing Systems. Montreal, Canada: ACM, 2015: 91-99.
[15] [15] LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot MultiBox detector [C]//Proceedings of the 14th European Conference on Computer Vision. Amsterdam, The Netherlands: Springer, 2016: 21-37.
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WU Ming-xiu, WU Jin, ZHANG Chen, ZHU Lei. Detection of foreign fiber in cotton based on improved YOLOv3[J]. Chinese Journal of Liquid Crystals and Displays, 2020, 35(11): 1195
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Received: Apr. 26, 2020
Accepted: --
Published Online: Jan. 19, 2021
The Author Email: WU Ming-xiu (2575323028@qq.com)