Abstract: In recent years, few-shot semantic segmentation (FSS) of strip steel surface defects (S3D) has posed significant challenges, primarily due to the wide diversity of scenarios and the inherent ...
Abstract: Existing surface defect semantic segmentation methods are limited by costly annotated data and are unable to cope with new or rare defect types. Zero-shot learning offers a new possibility ...
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