fig7

Application of self-supervised learning in steel surface defect detection

Figure 7. Detection detection performance on NEU-DET with varying pre-trained weights. (A) mAP using NEU-100e to 800e weights; (B) mAP using SSDD-20e to 400e weights. mAP: Mean average precision.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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