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FeYOLO: Improved YOLOv7-tiny model using feature...
Journal article

FeYOLO: Improved YOLOv7-tiny model using feature enhancement modules for the detection of individual silkworms in high-density and compact conditions

Abstract

The detection of individual silkworms is an essential subtask for the detection of diseased silkworms by combining visual and trajectory characteristics. Due to the high-density and compact conditions, the detection model is required to have high efficiency and reliable accuracy. However, most existing networks fail to provide a trade-off between accuracy and efficiency. To alleviate this problem, a feature enhancement You Only Look Once …

Authors

Shi H; Li L; Zhu S; Wu J; Hu G

Journal

Computers and Electronics in Agriculture, Vol. 231, ,

Publisher

Elsevier

Publication Date

April 2025

DOI

10.1016/j.compag.2025.109966

ISSN

0168-1699