Fab-ME modifies YOLOv8s with a VMamba-based state-space module in the neck and an enhanced channel attention module, reporting 59.4 percent mAP@0.5 on the Tianchi fabric defect dataset versus a 57.4 percent baseline.
Deep learning-based fabric defect detection: A review,
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Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection
Fab-ME modifies YOLOv8s with a VMamba-based state-space module in the neck and an enhanced channel attention module, reporting 59.4 percent mAP@0.5 on the Tianchi fabric defect dataset versus a 57.4 percent baseline.