An intelligent detection algorithm for microparticle viruses

Author:

Zhang Yinguang1ORCID,Su Jianhuan2ORCID,Xu Chuan1ORCID,Yu Ao1ORCID

Affiliation:

1. College of Automation, Guangxi University of Science and Technology, China

2. College of Automation, Guangxi University of Science and Technology, China and College of Artificial Intelligence, Hechi University, China

Publisher

ACM

Reference9 articles.

1. uber die neue Krankheit der Seidenraupe und verwandte Organismen. [Abstract of report before 33. Versamml. Deutsch. Naturf. u. Aerzte. Bonn, 21 Sept.];Nageli C.J.B.Z.;Bot. Ztg,1857

2. A new method of pebrine inspection of silkworm egg using multiprimer PCR;Hatakeyama Y.;Journal of Invertebrate Pathology,2003

3. Liu, W.; Anguelov, D.; Erhan, D.; Szegedy, C.; Reed, S.; Fu, C.-Y.; Berg, A.C. 2016. Ssd: Single shot multibox detector. In Proceedings of the Computer Vision–ECCV: 14th European Conference, Amsterdam, The Netherlands, Part I 14, pp. 21-37.

4. Girshick, R. 2015. Fast r-cnn. In Proceedings of the Proceedings of the IEEE international conference on computer vision, pp. 1440-1448.

5. Wang C Y, Bochkovskiy A, Liao H Y M. 2023. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023, pp.7464-7475.

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