pone.0289179.g001.tif (1.09 MB)
CFM-YOLOv5 overall structure diagram.
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posted on 2023-12-07, 18:39 authored by Yuntao Xu, Peigang Jiao, Jiaqi LIU(1) Backbone uses YOLOv5s-6.0 version. (2) The Neck section adds an EVC module to replace the Transformer. (3) The Predicition module uses four detection heads.
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xlink "> aimingstandard transformer encodermetal surface defectsfeature extraction abilityexperimental results showgreatly improved mapfeature enhancement partimproved yolov5 algorithmimproved algorithmprediction partreference significancenegative impactlow efficiencyhead selfevc moduledata setcfpnet moudleattention moduleanalogy experimentsaccurately identifyablation experiments
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