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 ...
Abstract: FSCIL (Few-shot class-incremental learning) is a prominent research topic in the ML community. It faces two significant challenges: forgetting old class knowledge and overfitting to limited ...