Research Article
Automatic Fabric Defect Detection Based on an Improved YOLOv5
Table 4
Comparisons of different fabric defect detection algorithms on the TILDA database.
| | ā | AUC | mAP |
| | OurNet [41] | 0.866 | 0.301 | | OurNet-VGG16 | 0.912 | 0.346 | | OurNet-ResNet | 0.926 | 0.382 | | Jing et al. [40] | 0.958 | 0.411 | | YOLOv5 [29] | 0.970 | 0.442 | | Faster-RCNN [34] | 0.972 | 0.443 | | Student network | 0.965 | 0.428 | | Teacher network | 0.988 | 0.451 |
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