Detection and Recognition of Small Targets of Vehicles in Transmission Channel Based on Improved YoloX
ZHANG Zhijian
JIAO Liangbao
GAO Yang
ZOU Huijun
SUN Hongwei
WANG Yansheng
Abstract：In view of the phenomenon that small targets of engineering vehicles under the transmission channel seriously threaten the safety of the transmission channel,and the original YoloX algorithm has seriously missed the detection of small targets,the visual attention mechanism SK is added to the original single-stage target detection algorithm YoloX to increase the receptive field.The hole convolution module is used to replace the SPP module in the original network to further fuse different receptive field information.ASFF module is added in the network Neck part to improve the fine-grained features in the underlying features.Final-ly,the second recognition post-processing method is used to further reduce the miss detection rate of small targets.The experimen-tal results show that the proposed algorithm improves the detection accuracy.Compared with the traditional YoloX algorithm,the map is improved by 8.46%,and the recognition effect of small targets is significantly improved,which proves the effectiveness of the new algorithm.
Keywords：YoloXsmall targetsattention mechanismASFFsecondary identification
Publication Date：2025-02-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 415-421,485 )