Fabric Defect Detection in Textile Manufacturing: A Survey of the State of the Art

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">One-stage detectors</td><td class="align_center">Two-stage detectors</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">YOLO</td><td class="align_center">Faster RCNN</td></tr><tr><td class="align_left">SSD</td><td class="align_center">Mask RCNN</td></tr><tr><td class="align_left">YOLOv2/v3/v4</td><td class="align_center">Cascade RCNN</td></tr><tr><td class="align_left">RefineDet</td><td class="align_center">FPN</td></tr><tr><td class="align_left">RetinaNet</td><td class="align_center">R-FCN</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Deep learning algorithms for detecting object.</div>

Security and Communication Networks

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Table 5

Table 5: Fabric Defect Detection in Textile Manufacturing: A Survey of the State of the Art 