Bao-Jia Shao

Adaptive Local Prototypes for Cross-Domain Few-Shot Defect Segmentation in Intelligent Robotic Inspection

Most industrial defect segmentation methods rely on extensive pixel-level annotations and are limited to known defect categories and domains. To address this limitation, this paper investigates cross-domain few-shot defect segmentation, where meta-knowledge learned from a data-rich source domain is transferred to unsee...